March 20, 2023: Top 25 Github Projects with the Fastest Growing Popularity

Adair Lee
20 min readMar 20, 2023

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Top 25 Fastest Growing GitHub Projects

Rank #1 microsoft/semantic-kernel
https://github.com/microsoft/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
Language: C#
Stars: 1,692(459 stars today) Forks:163

The Semantic Kernel (SK) is an open-source, lightweight SDK that allows developers to integrate AI Large Language Models (LLMs) with traditional programming languages. SK’s extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based memory to unlock new potential and add value to applications with AI. SK supports prompt templating, function chaining, vectorized memory, and intelligent planning capabilities out of the box. The project is still in early alpha and welcomes contributions from the community via GitHub discussions, issues, and pull requests. SK is designed to encapsulate several design patterns from the latest AI research, such as prompt chaining, recursive reasoning, summarization, zero/few-shot learning, contextual memory, long-term memory, embeddings, semantic indexing, planning, and accessing external knowledge stores. SK can be applied in various fields, including chatbots, natural language processing, and AI-first apps. The project offers commercial applications in building AI-first apps faster and more efficiently, with a front-row peek at how the SDK is being built.

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Rank #2 tloen/alpaca-lora
https://github.com/tloen/alpaca-lora
Instruct-tune LLaMA on consumer hardware
Language: Jupyter Notebook
Stars: 3,531(575 stars today) Forks:312

Alpaca-LoRA (Low-Rank LLaMA Instruct-Tuning) is a project that aims to provide an Instruct model of similar quality to `text-davinci-003` that can run on a Raspberry Pi for research purposes. The project uses low-rank adaptation (LoRA) to reproduce the Stanford Alpaca results. The code includes training code that runs within five hours on a single RTX 4090, a script for downloading and inference on the foundation model and LoRA, as well as the resulting LoRA weights themselves. The project uses Huggingface’s PEFT and Tim Dettmers’ bitsandbytes for fine-tuning cheaply and efficiently. The LoRA model produces outputs comparable to the Stanford Alpaca model without hyperparameter tuning or validation-based checkpointing. The project has potential applications in natural language processing and can be used for generating text. Its ability to run on a Raspberry Pi makes it a useful tool for researchers who work with limited resources.

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Rank #3 mayooear/gpt4-pdf-chatbot-langchain
https://github.com/mayooear/gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
Language: TypeScript
Stars: 360(125 stars today) Forks:61

The GPT-4 & LangChain project is a framework that enables the creation of a chatbot for large PDF documents. The project uses the latest GPT-4 API and a tech stack that includes LangChain, Pinecone, Typescript, Openai, and Next.js. LangChain is a framework that simplifies the creation of scalable AI/LLM apps and chatbots. Pinecone is a vector store used for storing embeddings and PDF documents in text format, allowing for the retrieval of similar documents later. The project provides a tutorial video and a visual guide that can be accessed through the repository. The project can be applied in various fields, including education, research, and business, where large PDF documents need to be processed and analyzed. The commercial applications of this project include the automation of customer service, document analysis, and knowledge management for large organizations.

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Rank #4 mckaywrigley/chatbot-ui
https://github.com/mckaywrigley/chatbot-ui
A ChatGPT clone for running locally in your browser.
Language: TypeScript
Stars: 761(226 stars today) Forks:153

Chatbot UI is an advanced chatbot kit built on top of Chatbot UI Lite, using Next.js, TypeScript, and Tailwind CSS. It is designed to mimic ChatGPT’s interface and functionality and is based on OpenAI’s chat models. All conversations are stored locally on the user’s device. The project is constantly updated with new features, such as mobile view, saving via data export, and folders, and recent updates include markdown support, code syntax highlighting, and conversation naming. The chat interface, sidebar interface, and system prompt can be modified by users. Chatbot UI has commercial applications in various fields, such as customer service, e-commerce, and education. It can be used to provide personalized assistance to customers, answer frequently asked questions, and help students with their homework. The project can be deployed on Vercel or forked on Replit, and it can also be run locally.

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Rank #5 raysan5/raylib
https://github.com/raysan5/raylib
A simple and easy-to-use library to enjoy videogames programming
Language: C
Stars: 12,025(79 stars today) Forks:1,453

raylib is a simple and easy-to-use programming library that allows developers to create video games. The library is inspired by Borland BGI graphics lib and by XNA framework, making it well-suited for prototyping, tooling, graphical applications, embedded systems, and education. The library provides a pure coding environment with no fancy interface, visual helpers, or debug button. Developers can jump straight into coding and creating video games in a spartan-programmers way. The library is highly customizable, and developers can use it to create games in a variety of genres, including action, adventure, and puzzle games. The library has commercial applications in the gaming industry, including game development companies, educational institutions, and independent game developers.

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Rank #6 gencay/vscode-chatgpt
https://github.com/gencay/vscode-chatgpt
An unofficial Visual Studio Code — OpenAI ChatGPT integration
Language: TypeScript
Stars: 1,646(245 stars today) Forks:502

This Github project is a discontinued VS Code extension called ChatGPT, which was designed to provide a seamless AI experience within VS Code using OpenAI’s GPT models. Unfortunately, the project was removed from the marketplace and discontinued due to violations of OpenAI’s terms of use by some users, who were using the extension against its terms of use and engaging in behavior that broke the original motto of the project. The developers of the project do not wish to be associated with such behavior and have removed the extension from the marketplace. However, the source code remains available on the repository for those who wish to learn from it or continue the mission. The project has commercial applications in the field of software development, where it could be used to help developers improve their coding skills and productivity. To run the project locally, users can clone the repository, install the dependencies, and run the project within VS Code by hitting F5 or creating a ‘vsix’ package from the source code and installing it manually.

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Rank #7 f/awesome-chatgpt-prompts
https://github.com/f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
Language: HTML
Stars: 46,309(738 stars today) Forks:5,457

Awesome ChatGPT Prompts is an open-source repository on GitHub that provides a collection of prompt examples to be used with the ChatGPT model. ChatGPT is a large language model trained by OpenAI, which is capable of generating human-like text by providing it with a prompt. This repository includes a variety of prompts that can be used with ChatGPT, and users are encouraged to add their own prompts to the list as well. The prompts can be used in various fields such as natural language processing, chatbots, and conversational AI. The repository is useful for developers who want to generate realistic and engaging responses from AI-powered systems. In addition, the repository includes links to resources such as a free e-book on crafting clear and effective prompts, an unofficial desktop application, and a framework for hosting and sharing GPT apps. This repository has commercial applications in the development of chatbots, virtual assistants, and customer service systems, among others.

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Rank #8 cocktailpeanut/dalai
https://github.com/cocktailpeanut/dalai
The simplest way to run LLaMA on your local machine
Language: JavaScript
Stars: 3,731(740 stars today) Forks:295

Dalai is a project that provides a simple way to run LLaMA (Language Models for Multi-Agent Communication) on your computer. It is powered by two main components: llama.cpp and llama-dl CDN. Dalai includes a hackable web app and ships with both a JavaScript API and a Socket.io API. The project can be used in various fields, such as natural language processing, chatbots, and conversational agents. Commercial applications of this project include chatbots for customer service, virtual assistants, and personalized content creation. The project also provides a quick start guide, installation instructions, and an API that allows for programmatically installing and making requests to the model. Overall, Dalai provides a simple and efficient way to run LLaMA on your computer, making it a valuable tool for developers working in the field of natural language processing.

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Rank #9 modelscope/modelscope
https://github.com/modelscope/modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
Language: Python
Stars: 1,011(77 stars today) Forks:142

ModelScope is a library built on the concept of “Model-as-a-Service” (MaaS), which aims to bring together advanced machine learning models from the AI community and streamline the process of leveraging them in real-world applications. The ModelScope library provides developers with interfaces and implementations to perform model inference, training, and evaluation, with rich layers of API-abstraction that offer a unified experience to explore state-of-the-art models across domains such as computer vision, natural language processing, speech, multi-modality, and scientific computation. The library also enables interactions with ModelScope backend services, including the Model-Hub and Dataset-Hub, to facilitate management of various entities such as models and datasets. ModelScope provides hundreds of publicly available models, covering the latest developments in areas such as NLP, CV, audio, multi-modality, and AI for science, with many of these models representing the state-of-the-art in their specific fields. The library has commercial applications in various fields, including finance, healthcare, and e-commerce, where machine learning models are used for tasks such as fraud detection, personalized recommendations, and medical diagnosis.

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Rank #10 PlexPt/awesome-chatgpt-prompts-zh
https://github.com/PlexPt/awesome-chatgpt-prompts-zh
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
Language:
Stars: Star(364 stars today) Forks:5,427

ChatGPT is a large-scale language model trained by OpenAI that can generate human-like text. It can generate text similar to human writing by giving prompts or asking questions. This project provides various prompts that can be used with ChatGPT. It can be applied in fields such as academic writing, creative writing, content creation, business writing, academic editing, translation, data analysis, technical writing, education and training, website content, research consulting, speech writing, personal statements, resumes and cover letters, advertising copywriting, SEO optimization, social media marketing, news releases, multilingual translation, e-commerce content, travel writing, medical writing, children’s literature, and novel writing. The commercial applications of this project include academic writing services, content creation services, translation services, technical writing services, and marketing services. The project also offers a ChatGPT account that can be purchased for personal use.

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Rank #11 Dreamacro/clash
https://github.com/Dreamacro/clash
A rule-based tunnel in Go.
Language: Go
Stars: 38,453(83 stars today) Forks:5,046

Clash is a rule-based tunnel written in Go, which provides users with a local HTTP/HTTPS/SOCKS server that supports authentication. It also supports outbound traffic for Shadowsocks(R), VMess, Trojan, Snell, SOCKS5, and HTTP(S).

One of the unique features of Clash is its built-in fake-ip DNS server, which aims to minimize DNS pollution attacks. It also supports rules based on domains, GEOIP, IP-CIDR, or process names to route packets to different destinations. Proxy groups allow users to implement powerful rules, including automatic fallback, load balancing, or automatic proxy selection based on latency. Remote providers allow users to get proxy lists remotely instead of hardcoding them in the config.

Clash also supports transparent proxy, redirecting TCP and TProxy TCP/UDP with automatic route table/rule management. It also has a comprehensive HTTP RESTful API controller for hot-reload.

Clash Premium is a proprietary version that offers additional features such as gvisor/system stack TUN device on macOS, Linux, and Windows, policy routing with scripts, and rule providers. It also includes a built-in profiling engine for monitoring Clash usage.

Clash can be used in various fields, including cybersecurity, network management, and privacy protection. It can be applied commercially in VPN services, proxy services, and other network-related products.

The documentation for Clash is available on the GitHub Wiki, and developers can use Clash as a library to build Go applications. Clash is released under the GPL-3.0 license and acknowledges the contributions of riobard/go-shadowsocks2, v2ray/v2ray-core, and WireGuard/wireguard-go.

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Rank #12 Stability-AI/stablediffusion
https://github.com/Stability-AI/stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Language: Python
Stars: 14,462(170 stars today) Forks:1,661

Stable Diffusion Version 2 is a repository that contains models trained from scratch using Stable Diffusion, a machine learning algorithm for high-resolution image synthesis. The repository provides various pre-trained models, including Stable Diffusion 2.1-v and Stable Diffusion 2.1-base, both at different resolutions and fine-tuned on a less restrictive NSFW filtering of the LAION-5B dataset. The models can be used for image synthesis tasks such as text-to-image generation, image inpainting, and depth-conditional image synthesis. The repository also provides basic inference scripts for sampling from the models. Stable Diffusion Version 2 has commercial applications in various fields such as entertainment, advertising, and e-commerce, where high-quality image synthesis is required for tasks such as generating realistic product images, creating virtual environments, and producing digital content.

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Rank #13 yuezk/chatgpt-mirror
https://github.com/yuezk/chatgpt-mirror
A mirror of ChatGPT based on the gpt-3.5-turbo model.
Language: JavaScript
Stars: 717(152 stars today) Forks:166

ChatGPT Mirror is a Node.js application that is based on the GPT-3.5-turbo model and provides a chatbot interface for interacting with OpenAI’s GPT-3 API. The application can be installed and run locally or using Docker and requires an OpenAI API key to function. The application can be configured using a JSON file and supports custom error messages for the OpenAI API. ChatGPT Mirror can be applied in various fields such as customer service, education, and entertainment, where chatbots are used for tasks such as answering customer queries, providing educational content, and creating engaging chat experiences. The application has commercial applications in various industries, including e-commerce, healthcare, and finance, where chatbots are used for tasks such as customer support, medical diagnosis, and financial advice.

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Rank #14 logspace-ai/langflow
https://github.com/logspace-ai/langflow
⛓️ LangFlow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.
Language: TypeScript
Stars: 1,036(134 stars today) Forks:58

LangFlow is a GUI (Graphical User Interface) for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chat box. LangChain is a machine learning platform that can be used to create natural language processing models. LangFlow provides a range of LangChain components to choose from, including LLMs, prompt serializers, agents, and chains. With LangFlow, creating flows is easy. Simply drag sidebar components onto the canvas and connect them together to create your pipeline. Users can explore by editing prompt parameters, link chains and agents, track an agent’s thought process, and export their flow. LangFlow has a wide range of applications in the field of natural language processing and can be used to create NLP models for chatbots, virtual assistants, and other conversational applications. Commercial applications of LangFlow include developing chatbots and virtual assistants for businesses and organizations. LangFlow is an open-source project available on Github and welcomes contributions from developers of all levels. It is released under the MIT License.

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Rank #15 GaiZhenbiao/ChuanhuChatGPT
https://github.com/GaiZhenbiao/ChuanhuChatGPT
GUI for ChatGPT API
Language: Python
Stars: 3,007(238 stars today) Forks:357

Chuanhu ChatGPT is a web-based graphical user interface that provides a lightweight and easy-to-use interface for the ChatGPT API. It allows for real-time replies, unlimited conversations, conversation history saving, code formula rendering, internet search, preset prompt sets, and real-time token display. This project has applications in various fields, including natural language processing, chatbot development, and customer service. It can be used to improve customer service by providing an AI-powered chatbot that can handle customer inquiries and provide quick and accurate responses. In the field of education, it can be used to teach students about natural language processing and chatbot development. Additionally, the project has commercial applications in the field of software development, where it could be used to help developers improve their coding skills and productivity. It can be deployed locally, remotely, or using Docker and can be accessed through a web browser.

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Rank #16 home-assistant/core
https://github.com/home-assistant/core
🏡 Open source home automation that puts local control and privacy first.
Language: Python
Stars: 59,010(142 stars today) Forks:22,452

Home Assistant is an open-source home automation platform that emphasizes local control and privacy. It is designed to be run on a Raspberry Pi or a local server and is built using a modular approach, making it easy to add support for other devices or actions. The system is powered by a worldwide community of tinkerers and DIY enthusiasts, and it offers a wide range of integrations with popular smart home devices and services. Home Assistant can be applied in a variety of fields, including home automation, security, and energy management. Its commercial applications include the development of smart home products and services, as well as the integration of Home Assistant into existing smart home ecosystems. The platform also offers a demo, installation instructions, tutorials, and documentation to help users get started.

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Rank #17 nichtdax/awesome-totally-open-chatgpt
https://github.com/nichtdax/awesome-totally-open-chatgpt
A list of totally open alternatives to ChatGPT
Language:
Stars: Star(119 stars today) Forks:10

Awesome-totally-open-chatGPT is a curated list of open-source projects that provide chat systems based on GPT-3.5 with RLHF (Reinforcement Learning with Human Feedback). The list includes projects that feature different language models for chat systems and are categorized based on their level of completeness, from bare projects with no data, no model’s weight, and no chat system to full projects with data, model’s weight, and a fancy chat system including TUI and GUI. The projects in the list can be applied in various fields such as customer service, education, and entertainment, where chatbots are used for tasks such as answering customer queries, providing educational content, and creating engaging chat experiences. The applications of these projects have commercial applications in various industries, including e-commerce, healthcare, and finance, where chatbots are used for tasks such as customer support, medical diagnosis, and financial advice.

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Rank #18 1Panel-dev/1Panel
https://github.com/1Panel-dev/1Panel
现代化、开源的 Linux 服务器运维管理面板。
Language: Go
Stars: 922(123 stars today) Forks:88

1Panel is a modern, open-source Linux server management panel that provides a range of features and benefits. These include fast website creation, deep integration with WordPress and Halo, one-click domain binding, SSL certificate configuration, efficient server management through a web interface, including application management, host monitoring, file management, database management, container management, and more. Additionally, 1Panel is secure and reliable, with minimal vulnerability exposure and firewall and security audit functions. It also supports one-click backup and recovery, with data backup stored in the cloud to prevent data loss.

This project has applications in various fields, including website development, server management, and cloud computing. It can be used to improve website development by providing a user-friendly interface that simplifies the website creation process. It can also be used to manage Linux servers efficiently, saving time and resources. Additionally, 1Panel has commercial applications in the field of cloud computing, where it can be used to manage cloud infrastructure and improve productivity.

1Panel is easy to install, and there are online documentation and video tutorials available for learning. The project also has a community where users can submit issues and suggestions, as well as a WeChat group for communication and exchange. In terms of security, the project provides a direct way to contact the developers through email and phone if any security issues are detected. 1Panel is licensed under the GNU General Public License version 3 (GPLv3).

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Rank #19 john-smilga/react-course-v3
https://github.com/john-smilga/react-course-v3

Language: CSS
Stars: 206(11 stars today) Forks:127

The React Course is a set of online tutorials and projects that introduce learners to React, a popular JavaScript library for building user interfaces. The course is designed to provide a comprehensive introduction to React, covering topics such as components, state, props, and lifecycle methods.

The course can be applied in various fields, including front-end web development, mobile app development, and user interface design. It is suitable for beginners who want to learn React from scratch and for experienced developers who want to improve their React skills.

The course is available on Udemy, where learners can enroll in the full course and access additional resources, including quizzes, assignments, and a certificate of completion. The course is also available on the instructor’s website, where learners can find other project-based web development courses.

The React Course has commercial applications in the education and e-learning industry. It can also be used by companies to train their employees in React development skills. The course instructor also offers support through a “buy me a coffee” option and encourages learners to star the repository.

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Rank #20 AUTOMATIC1111/stable-diffusion-webui
https://github.com/AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
Language: Python
Stars: 50,399(438 stars today) Forks:9,349

The Stable Diffusion web UI is an open-source project that provides a browser interface based on the Gradio library for Stable Diffusion. Stable Diffusion is a generative model that can be used to create high-quality images from text or other images. The web UI includes several features such as original txt2img and img2img modes, outpainting, inpainting, color sketch, prompt matrix, stable diffusion upscale, attention, loopback, X/Y/Z plot, textual inversion, and more. It also has extras such as GFPGAN, CodeFormer, RealESRGAN, SwinIR and Swin2SR, LDSR, and resizing aspect ratio options. This project can be applied in various fields such as art, design, and computer vision. Commercial applications can include creating high-quality images for marketing or advertising purposes or developing computer vision models for various industries. Additionally, the project allows for customization and extension through custom scripts and composable diffusion, providing a flexible and adaptable tool for users.

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Rank #21 jtmuller5/The-HustleGPT-Challenge
https://github.com/jtmuller5/The-HustleGPT-Challenge
Building Startups with an AI Co-Founder
Language:
Stars: Sponsor(257 stars today) Forks:44

The HustleGPT Challenge is a curated list of entrepreneurial endeavors that use the newly announced large language model (LLM), GPT-4, to turn $100 into as much money as possible in the shortest amount of time possible without doing anything illegal. The project was inspired by a tweet from @jacksonfall on Twitter, and the goal is to partner with GPT-4 to varying degrees to achieve the challenge. The project can be applied in various fields, including programming, sustainable living, pet products, and language learning. The commercial applications of The HustleGPT Challenge include building web-based applications for various industries, such as e-commerce, education, and entertainment. The project provides a list of entrepreneurial endeavors that use GPT-4 to achieve the challenge, along with their descriptions and co-founders. The project encourages users to add their HustleGPT adventure with a pull request and to follow the project’s creator on Twitter.

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Rank #22 Ayanaminn/N46Whisper
https://github.com/Ayanaminn/N46Whisper
Whisper based Japanese subtitle generator
Language: Jupyter Notebook
Stars: 396(99 stars today) Forks:30

N46Whisper is a Google Colab notebook application designed to streamline the process of generating video subtitle files for Nogizaka46 and Sakamichi groups, improving the productivity of subbers. The notebook is based on Whisper, a general-purpose speech recognition model. The output file is in Advanced SubStation Alpha (ass) format with a built-in style of the selected sub-group, making it easy to import into Aegisub for subsequent editing.

The notebook has several new features, including the ability to split multiple words/sentences in one line, chatGPT translation, and bilingual subtitle file generation. Users can use their own OpenAI API Key to translate transcribed subtitle text line by line using AT translation tools. The notebook also allows users to split text in a single line by space, with the child lines having the same timestamp as the parent line.

N46Whisper can be applied in the field of video subtitling and can be used by sub-groups or individual subbers to reduce labor and time costs. The notebook can be used commercially by subbing companies or video production companies that require subtitle files.

The notebook is available on Google Colab and can be accessed by following the link provided in the project information. Users can upload files and follow the instructions to run the notebook, and the ass file will be automatically downloaded once done.

While the Whisper model and the application itself have limitations, the N46Whisper project provides documentation and discussions to help users learn more about the usage of Whisper and the limitations of the application.

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Rank #23 lencx/ChatGPT
https://github.com/lencx/ChatGPT
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
Language: Rust
Stars: 23,671(302 stars today) Forks:2,335

ChatGPT is a desktop application project available for Windows, Mac, and Linux. This unofficial project is created for research and personal learning purposes only. ChatGPT is an application that allows users to have a conversation with an AI chatbot powered by OpenAI’s GPT-3 API. The GPT-3 API allows the application to understand natural language processing and provide human-like responses. The project was widely popular but had to be migrated to a new repository due to some issues, including its name and icon, which were related to infringement problems. ChatGPT can be applied in fields such as natural language processing, artificial intelligence, and chatbots. Although it has commercial applications, there have been instances where some users have used it for repackaging and selling for profit, which has caused issues for the project’s development plan. The application can be installed on Windows and Mac through direct download links, while Mac users can also use Homebrew to install the application.

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Rank #24 34j/so-vits-svc-fork
https://github.com/34j/so-vits-svc-fork
so-vits-svc fork with REALTIME support (voice changer) and greatly improved interface.
Language: Python
Stars: 89(20 stars today) Forks:19

SoftVC VITS Singing Voice Conversion Fork is a fork of the so-vits-svc project that provides real-time support and a greatly improved interface for singing voice conversion. The project is based on branch 4.0 (v1), and the models are compatible with the original project. The project can be installed using pip and includes features not available in the original repo, such as more accurate pitch estimation using CREPE, a GUI, and a unified command-line interface. The project can be used for inference and training, with a recommended folder structure for training data. The project has commercial applications in the music industry, where singing voice conversion can be used to modify the pitch and tone of a singer’s voice in real-time or during post-production.

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Rank #25 PCSX2/pcsx2
https://github.com/PCSX2/pcsx2
PCSX2 — The Playstation 2 Emulator
Language: C++
Stars: 8,105(8 stars today) Forks:1,298

PCSX2 is a free and open-source PlayStation 2 (PS2) emulator that allows users to play PS2 games on their PC. The emulator is designed to emulate the PS2’s hardware using a combination of MIPS CPU interpreters, recompilers, and a virtual machine that manages hardware states and PS2 system memory. PCSX2 has been running for over twenty years, and newer versions can run most games at full speed, including popular titles such as Final Fantasy X and Devil May Cry 3.

The PCSX2 emulator can be applied in the field of gaming and can be used by gamers who want to play PS2 games on their PC. The emulator has many additional features and benefits, including the ability to upscale graphics, use cheat codes, and save and load game states. PCSX2 is available for Windows, Linux, and macOS, and installers and binaries for both stable and development builds are available from the PCSX2 website.

PCSX2 has commercial applications in the gaming industry, as it can be used by game developers to test their PS2 games on PC before releasing them to the market. It can also be used by gaming companies to re-release classic PS2 games for modern platforms, such as PC or console.

PCSX2 has system requirements that users should be aware of, including a minimum of Windows 7 or Linux 64-bit, an Intel Core 2 Duo CPU, a DirectX 11 GPU, and 2GB of RAM. However, the recommended system requirements are higher, and users should check the PCSX2 website for more information.

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Adair Lee
Adair Lee

Written by Adair Lee

Experienced full-stack developer proficient in C#, Python, and web development, with 20+ years of Google SEO expertise and successful entrepreneurship.

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