Top 25 Github Projects with the Fastest Growing Popularity on 03/19/2023
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: 1,014(438 stars today) Forks:109
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: 2,689(659 stars today) Forks:221
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 cocktailpeanut/dalai
https://github.com/cocktailpeanut/dalai
The simplest way to run LLaMA on your local machine
Language: JavaScript
Stars: 2,807(473 stars today) Forks:184
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 #4 mckaywrigley/chatbot-ui
https://github.com/mckaywrigley/chatbot-ui
A ChatGPT clone for running locally in your browser.
Language: TypeScript
Stars: 492(168 stars today) Forks:96
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 gencay/vscode-chatgpt
https://github.com/gencay/vscode-chatgpt
Your best AI pair programmer — open source only
Language: TypeScript
Stars: 1,230(159 stars today) Forks:256
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 #6 setzer22/llama-rs
https://github.com/setzer22/llama-rs
Run LLaMA inference on CPU, with Rust 🦀🚀🦙
Language: Rust
Stars: 1,424(231 stars today) Forks:48
LLaMA-rs is a Rust port of the llama.cpp project, which allows running inference for Facebook’s LLaMA model on a CPU with good performance using full precision, f16, or 4-bit quantized versions of the model. LLaMA-rs is powered by the ggml tensor library, achieving the same performance as the original code. This project can be applied in various fields that require machine learning inference, such as natural language processing, computer vision, and speech recognition. Commercial applications of this project include developing intelligent chatbots, image recognition systems, and voice assistants. The project is open-source and contributions are welcome. However, there are some known issues, such as slow inference on non-Linux operating systems, and the need for library-fication.
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Rank #7 massgravel/Microsoft-Activation-Scripts
https://github.com/massgravel/Microsoft-Activation-Scripts
A Windows and Office activator using HWID / KMS38 / Online KMS activation methods, with a focus on open-source code and fewer antivirus detections.
Language: Batchfile
Stars: 28,443(215 stars today) Forks:3,147
The Microsoft Activation Scripts (MAS) project is an open-source Windows and Office activator that uses HWID/KMS38/Online KMS activation methods. The project aims to provide a reliable and easy-to-use tool for activating Windows and Office with a focus on open-source code and fewer antivirus detections. The project offers two methods for downloading and using the tool: PowerShell and Traditional. The PowerShell method involves copying and pasting a code snippet in PowerShell or Terminal, while the Traditional method involves downloading a compressed file, extracting it, and running a batch file. The MAS project also provides an option for running the scripts in unattended mode. The project is useful for individuals and organizations who need to activate Windows and Office licenses quickly and efficiently. The project’s commercial applications include IT support services, system administrators, and software developers who need to test their products on different Windows and Office versions.
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Rank #8 GaiZhenbiao/ChuanhuChatGPT
https://github.com/GaiZhenbiao/ChuanhuChatGPT
GUI for ChatGPT API
Language: Python
Stars: 2,693(167 stars today) Forks:326
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 #9 acheong08/EdgeGPT
https://github.com/acheong08/EdgeGPT
Reverse engineered API of Microsoft’s Bing Chat
Language: Python
Stars: 3,753(220 stars today) Forks:347
The Edge GPT project is a demo of reverse engineering the chatbot feature of the new version of Bing. The project provides a Python package that allows developers to interact with the Bing GPT chatbot using their Microsoft account. The package can be used to train and test conversational agents and chatbots. The project requires Python 3.8+ and a Microsoft account with early access to http://bing.com/chat. The package can be installed using pip and requires the user to authenticate with their Microsoft account by exporting their cookies to a JSON file. The project provides a quick start guide, a developer demo, and reference code for more advanced usage. The package supports various conversation styles, such as creative, balanced, and precise. The project is a work in progress and is currently focused on error handling. Commercial applications of this project include chatbots for customer service, virtual assistants, and personalized content creation. Overall, the Edge GPT project provides a valuable tool for developers working in the field of natural language processing and conversational agents.
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Rank #10 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: 434(94 stars today) Forks:48
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 #11 AUTOMATIC1111/stable-diffusion-webui
https://github.com/AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
Language: Python
Stars: 49,690(400 stars today) Forks:9,251
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 #12 huggingface/transformers
https://github.com/huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Language: Python
Stars: 85,912(184 stars today) Forks:18,697
Transformers is a state-of-the-art machine learning project that provides thousands of pre-trained models to perform tasks on different modalities such as text, vision, and audio. These models can be applied in various fields such as natural language processing, computer vision, and audio processing. The project offers a range of pre-trained models that can be fine-tuned on your own datasets and then shared with the community on their model hub. Transformers is backed by the three most popular deep learning libraries, Jax, PyTorch, and TensorFlow, with seamless integration between them. It is a valuable tool for businesses that require machine learning models for tasks such as text classification, information extraction, question answering, image classification, object detection, and speech recognition. The project also offers online demos for most of its models, allowing users to test them directly on their pages.
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Rank #13 xenova/transformers.js
https://github.com/xenova/transformers.js
Run 🤗 Transformers in your browser!
Language: JavaScript
Stars: 1,213(275 stars today) Forks:45
Transformers.js is a JavaScript library that enables users to run the popular Hugging Face Transformers library in their web browser. The library currently supports a range of models, including BERT, ALBERT, DistilBERT, T5, GPT2, BART, CodeGen, Whisper, CLIP, Vision Transformer, and VisionEncoderDecoder models. These models can be used for a variety of tasks, such as masked language modeling, text classification, text-to-text generation, translation, summarization, question answering, text generation, automatic speech recognition, image classification, zero-shot image classification, and image-to-text.
This project has applications in various fields, including natural language processing, computer vision, and machine learning. It can be used to improve the performance of web-based natural language processing applications by running the models directly in the browser without the need for server-side computation. Additionally, it can be used for computer vision tasks, such as image classification and image-to-text conversion, by running the models directly in the browser.
Transformers.js is easy to install using npm, and users can also use it in a script tag. The library provides a simple and easy-to-use API that is similar to the Python library, making it easy for developers who are familiar with the Python library to use it. Additionally, the library provides custom setup options that allow users to customize the library’s behavior.
Overall, Transformers.js has commercial applications in the field of web development, where it can be used to improve the performance of web-based natural language processing and computer vision applications. Additionally, it can be used in the field of machine learning to improve the performance of models that require real-time inference.
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Rank #14 jtmuller5/The-HustleGPT-Challenge
https://github.com/jtmuller5/The-HustleGPT-Challenge
Building Startups with an AI Co-Founder
Language:
Stars: Sponsor(295 stars today) Forks:30
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 #15 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: 820(150 stars today) Forks:50
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 #16 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(277 stars today) Forks:5,269
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 #17 josStorer/chatGPTBox
https://github.com/josStorer/chatGPTBox
Integrating ChatGPT into your browser deeply, everything you need is here
Language: JavaScript
Stars: 565(224 stars today) Forks:16
ChatGPT Box is a Github project that integrates the ChatGPT language model into your browser. It allows you to call up a chat dialog box on any page at any time and supports multiple APIs, including Web API for Free and Plus users, GPT-3, and GPT-3.5. This project can be applied in various fields, including language processing, natural language understanding, and conversational AI. It has commercial applications in chatbots, customer service, and virtual assistants. The project also offers integration adaptation for various commonly used websites, such as reddit, quora, youtube, github, gitlab, zhihu, and bilibili, as well as adaptation to all mainstream search engines. The selection tool and right-click menu allow you to perform various tasks, such as translation, summarization, polishing, sentiment analysis, paragraph division, code explain, and queries. The project also supports static cards, powerful rendering support, language preference support, custom API address support, and the ability to freely switch on or off site adaptations and selection tools.
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Rank #18 comfyanonymous/ComfyUI
https://github.com/comfyanonymous/ComfyUI
A powerful and modular stable diffusion GUI with a graph/nodes interface.
Language: Python
Stars: 2,520(230 stars today) Forks:212
ComfyUI is an open-source project that provides a powerful and modular stable diffusion GUI for designing and executing advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. It is a workflow automation tool that can be used to create complex workflows without needing to code anything. ComfyUI supports SD1.x and SD2.x, and it has many features, including an asynchronous queue system, many optimizations, command-line options, and support for loading both ckpt and safetensors models/checkpoints. It also has embeddings/textual inversion, area composition, inpainting, control net, T2I-Adapter, upscale models, and more. ComfyUI starts up very fast and works fully offline, making it a great choice for commercial applications. It can be installed on Windows and Linux, and there is a portable standalone build for Windows that should work for running on Nvidia GPUs or for running on your CPU only. The project is also available as a Colab Notebook, making it easy to run it on Colab or Paperspace.
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Rank #19 zhayujie/chatgpt-on-wechat
https://github.com/zhayujie/chatgpt-on-wechat
Wechat robot based on ChatGPT, which using OpenAI api and itchat library. 使用ChatGPT搭建微信聊天机器人，基于GPT3.5 API和itchat实现
Language: Python
Stars: 6,215(130 stars today) Forks:1,292
This is a Github project called “ChatGPT-on-WeChat,” which uses the ChatGPT interface to generate conversation content and ItChat to receive and automatically reply to WeChat messages. The project aims to create an intelligent WeChat robot that can give unexpected responses during conversations with friends, and it has several features, including text conversation, customized rules, multiple accounts, image generation, context memory, and speech recognition. The project can be applied in various fields, including natural language processing, chatbot development, and AI-based customer service. The commercial applications of this project include improving customer engagement, reducing customer service costs, and enhancing brand reputation.
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Rank #20 mlc-ai/web-stable-diffusion
https://github.com/mlc-ai/web-stable-diffusion
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Language: Jupyter Notebook
Stars: 1,294(311 stars today) Forks:52
Web Stable Diffusion is a project that brings stable diffusion models to web browsers without requiring any server support. This is the world’s first stable diffusion completely running on the browser. Stable diffusion enables the automatic creation of photorealistic images as well as images in various styles based on text input. The project aims to bring more diversity to the ecosystem by getting some or all of the computation to the client side, which can result in cost reduction on the service provider side, as well as an enhancement for personalization and privacy protection. The project is designed to be repeatable, hackable, and composable, enabling anyone to easily develop and optimize these models in a Python-first environment and deploy them universally, including the web. The project can be applied in various fields, including image generation, graphic design, and virtual reality. The commercial applications of Web Stable Diffusion include building web-based applications for image generation and graphic design, as well as developing virtual reality experiences that can run on web browsers. The project provides a Jupyter notebook that walks users through all the stages of importing, optimizing, building, and deploying the stable diffusion model, as well as command-line instructions for the same. The project requires TVM Unity, which can be installed using pip or built from source.
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Rank #21 hua1995116/awesome-ai-painting
https://github.com/hua1995116/awesome-ai-painting
AI绘画资料合集（包含国内外可使用平台、使用教程、参数教程、部署教程、业界新闻等等） stable diffusion tutorial、disco diffusion tutorial、 AI Platform
Language:
Stars: Star(94 stars today) Forks:371
This project is called “Digital Painting”. It is a record of the creator’s process of using AI to create paintings, with the aim of helping more people learn how to use AI to create art. The project has been updated recently to include a new feature, the MewXAI mini-program, which is a unique ancient-style model that can be used to create various types of paintings, including real-life models, thickly painted models, 2.5D, and 2D models. The mini-program offers 50 free points for users to experience the painting process. The project also provides a list of platforms that offer AI painting capabilities, including midjourney, wombo.art, Google Colab, DALL·E 2, artbreeder, dreamstudio, nightcafe, starryai, and others. This project can be applied in the field of digital art and can be used by artists, designers, and anyone interested in creating digital paintings. Commercial applications of this project could include the development of AI painting software or the creation of digital art for commercial use.
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Rank #22 sudheerj/javascript-interview-questions
https://github.com/sudheerj/javascript-interview-questions
List of 1000 JavaScript Interview Questions
Language: JavaScript
Stars: 14,909(34 stars today) Forks:4,393
This Github project is a collection of JavaScript interview questions and answers. It provides a table of contents with a list of questions, including topics such as creating objects in JavaScript, prototype chains, call, apply, and bind methods, JSON, array slice and splice methods, object and map comparison, and various types of functions such as lambda, first class, first order, higher order, unary, currying, and pure functions. This project can be applied in the field of software development, specifically in the area of JavaScript programming. It is a valuable resource for anyone preparing for a JavaScript job interview or looking to improve their JavaScript skills. It has commercial applications in the tech industry, particularly in software development and web development, where JavaScript is a widely used programming language.
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Rank #23 home-assistant/core
https://github.com/home-assistant/core
🏡 Open source home automation that puts local control and privacy first.
Language: Python
Stars: 58,838(14 stars today) Forks:22,445
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 #24 f/awesome-chatgpt-prompts
https://github.com/f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
Language: HTML
Stars: 45,053(523 stars today) Forks:5,319
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 #25 869413421/chatgpt-web
https://github.com/869413421/chatgpt-web
基于ChatGPT3.5 API实现的私有化web程序
Language: Go
Stars: 1,568(80 stars today) Forks:329
This project is a chatbot web application that can be deployed with customized parameters. It is compatible with gpt3.5 and has features such as AI personality setting, basic Q&A interface, and configurable parameters. It can be used in the field of AI chatbots and natural language processing. The project can be used commercially in various industries, such as customer service and support, e-commerce, and education. The chatbot can be used to provide instant responses to customer inquiries, automate repetitive tasks, and improve user engagement. The project can be downloaded and run on various platforms, and the parameters can be configured according to the user’s needs. The project’s documentation provides detailed instructions on how to use the chatbot and customize its parameters.
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