Top 25 Github Projects with the Fastest Growth on 03/15/2023: A Daily Ranking Report
Rank #1 tatsu-lab/stanford_alpaca
https://github.com/tatsu-lab/stanford_alpaca
Code and documentation to train Stanford’s Alpaca models, and generate the data.
Language: Python
Stars: 6,237(2,275 stars today) Forks:524
Stanford Alpaca is an open-source project that aims to build and share an instruction-following LLaMA (Language Model for Multi-tasking Agents) model. The current Alpaca model is fine-tuned from a 7B LLaMA model on 52K instruction-following data generated by the techniques in the Self-Instruct paper. The project includes a web demo to interact with the Alpaca model, the 52K data used for fine-tuning the model, and the code for generating the data. The model can be applied in various fields that require instruction-following tasks, such as chatbots, virtual assistants, and customer service automation. The commercial applications of the project include enhancing customer experience, reducing operational costs, and improving productivity. However, the project is still under development, and the creators have not yet fine-tuned the Alpaca model to be safe and harmless. They encourage users to be cautious when interacting with Alpaca and to report any concerning behavior to help improve the safety and ethical considerations of the model.
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Rank #2 ggerganov/llama.cpp
https://github.com/ggerganov/llama.cpp
Port of Facebook’s LLaMA model in C/C++
Language: C
Stars: 7,392(1,990 stars today) Forks:528
The open-source project llama.cpp is a pure C/C++ implementation of Facebook’s LLaMA model, optimized for running the model using 4-bit quantization on a MacBook. The project is designed to be a plain implementation without dependencies, making it a versatile tool for a wide range of applications. It has been optimized for Apple silicon via ARM NEON and supports AVX2 for x86 architectures. The project supports mixed F16/F32 precision and runs on the CPU. It is important to note that the project was created for educational purposes, and its results should not be used to make conclusions about the models. It is supported on Mac OS, Linux, and Windows (via CMake). The project can be applied in a variety of fields, including natural language processing, machine learning, and artificial intelligence. Commercial applications of the project include developing chatbots, virtual assistants, and other language-based applications.
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Rank #3 togethercomputer/OpenChatKit
https://github.com/togethercomputer/OpenChatKit
Language: Python
Stars: 4,515(1,409 stars today) Forks:474
OpenChatKit is an open-source project that provides a powerful base for creating specialized and general-purpose chatbots for various applications. The project includes an instruction-tuned 20 billion parameter language model, a 6 billion parameter moderation model, and an extensible retrieval system for including up-to-date responses from custom repositories. It was trained on the OIG-43M training dataset, which was a collaboration between Together, LAION, and Ontocord.ai. The project includes code for training the OpenChatKit model, testing inference using the model, and augmenting the model with additional context from a retrieval index. The project can be applied in a variety of fields, including natural language processing, machine learning, and artificial intelligence. Commercial applications of the project include developing chatbots, virtual assistants, and other language-based applications. The project is the beginning of an open-source project, and the developers have released a set of tools and processes for ongoing improvement with community contributions. The project requires the installation of PyTorch and other dependencies, and Git LFS is used to manage some files. The chat model was trained on the OIG dataset built by LAION, Together, and Ontocord.ai. The project is licensed under the MIT License.
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Rank #4 kaixindelele/ChatPaper
https://github.com/kaixindelele/ChatPaper
Use ChatGPT to summarize the arXiv papers.
Language: Python
Stars: 1,760(633 stars today) Forks:143
ChatPaper is an open-source project that provides a tool for summarizing academic papers using AI language models. The project is designed to keep up with the fast pace of AI research and the vast amount of academic papers being published daily. ChatPaper uses user keywords to download the latest papers from arXiv and then uses ChatGPT3.5 API’s powerful summarization to condense them into a fixed format with minimal text and easy readability. This project can be applied in the fields of natural language processing, machine learning, and artificial intelligence. Commercial applications of the project include developing research tools, virtual assistants, and other language-based applications. The project is open-source and free to use, and it provides a web interface for users to deploy ChatPaper either in private or public environments. The project is motivated by the need for humans to evolve and keep up with AI’s rapid progress. The project is developed by a Ph.D. student in reinforcement learning at the University of Science and Technology of China. The project requires the installation of Python and other dependencies, and it can be run on Windows, Mac, and Linux systems.
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Rank #5 whoiskatrin/sql-translator
https://github.com/whoiskatrin/sql-translator
SQL Translator is a tool for converting natural language queries into SQL code using artificial intelligence. This project is 100% free and open source.
Language: TypeScript
Stars: 1,109(293 stars today) Forks:83
The SQL Translator is an open-source project designed to help users translate SQL commands into natural language and vice versa. SQL is a programming language used to manage and manipulate data in relational databases, while natural language is the language we speak and write in everyday life. This tool is designed to make it easy for anyone to understand what’s going on in their database or to write SQL queries without being a SQL expert. The SQL Translator can be applied in fields such as data management, data analysis, and database administration. Commercial applications of the project include developing database management tools, virtual assistants, and other language-based applications. The project is 100% free and open source, and it features a variety of useful tools, such as dark mode, copy to clipboard, and SQL syntax highlighting. The project is developed using Node.js and uses the OPENAI API for natural language processing. The project is easy to use, and users can navigate to the tool’s website and choose whether they want to translate from natural language to SQL or from SQL to natural language. The SQL Translator is released under the MIT License, and contributions to the project are welcome and encouraged.
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Rank #6 cogentapps/chat-with-gpt
https://github.com/cogentapps/chat-with-gpt
An open-source ChatGPT app with a voice
Language: TypeScript
Stars: 491(291 stars today) Forks:58
Chat with GPT is an open-source app that connects ChatGPT with ElevenLabs to give it a realistic human voice. It is a customizable ChatGPT app with additional features that make it fast and easy to use. The app is developed using TypeScript + React and is powered by the new ChatGPT API from OpenAI. Chat with GPT can be applied in fields such as natural language processing, machine learning, and artificial intelligence. Commercial applications of the project include developing virtual assistants, chatbots, and other language-based applications. The app features fast response times, search functionality, the ability to customize the System Prompt, and adjust the creativity and randomness of responses. It also allows users to give ChatGPT a realistic human voice by connecting their ElevenLabs text-to-speech account. Chat sessions can be shared online using public share URLs, and messages can be easily copied-and-pasted, edited, and regenerated. The app has full markdown support, including code, tables, and math. Users can bring their own API keys for OpenAI and ElevenLabs, and the app is licensed under the MIT license. The app can be self-hosted with Docker, making it easy to run on any device. The project welcomes contributions from the community, and pull requests are encouraged.
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Rank #7 exaloop/codon
https://github.com/exaloop/codon
A high-performance, zero-overhead, extensible Python compiler using LLVM
Language: C++
Stars: 7,515(439 stars today) Forks:257
Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Developed by the Seq project, Codon is a Python-compatible language that supports native multithreading and can lead to speedups many times higher than Python. Codon can be applied in fields such as scientific computing, data analysis, and machine learning. Commercial applications of the project include developing high-performance scientific computing applications, data analysis tools, and machine learning algorithms. The project features pre-built binaries for Linux and macOS, and it can be built from source. The project has a number of options and modes, including the ability to compile and run programs, compile to executable, and compile to LLVM IR file. Codon also supports GPU programming, and it can be used within larger Python codebases via the `@codon.jit` decorator. The project is well-documented, and users can visit the project’s website for in-depth documentation. Codon is not a drop-in replacement for Python, and some of Python’s modules and dynamic features are not yet implemented within Codon. However, the Codon compiler produces detailed error messages to help identify and resolve any incompatibilities. The project welcomes contributions from the community, and pull requests are encouraged.
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Rank #8 comfyanonymous/ComfyUI
https://github.com/comfyanonymous/ComfyUI
A powerful and modular stable diffusion GUI with a graph/nodes interface.
Language: Python
Stars: 1,195(189 stars today) Forks:86
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 #9 base-org/node
https://github.com/base-org/node
Everything required to run your own Base node
Language: Shell
Stars: 15,999(3,772 stars today) Forks:435
Base is an open-source Ethereum L2 designed to bring the next billion users to web3. It is secure, low-cost, and developer-friendly, built on Optimism’s open-source OP Stack. The project offers relevant Docker builds to run your own node on the Base network. The project features hardware requirements, such as at least 16 GB RAM and an SSD drive with at least 100 GB free. Troubleshooting can be done through opening a GitHub issue or reaching out on their Discord server. The project supports Goerli testnet and Mainnet Ethereum networks. To use Base, users must ensure they have an Ethereum Goerli L1 node RPC available, and set OP_NODE_L1_ETH_RPC. After running the command to build, users can now curl their Base node. The project offers syncing status using the `optimism_syncStatus` RPC on the `op-node` container. Base can be applied in various fields, such as blockchain development and decentralized finance (DeFi). Commercial applications of the project include developing decentralized applications (dApps), blockchain-based payment systems, and smart contracts.
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Rank #10 pynecone-io/pynecone
https://github.com/pynecone-io/pynecone
🕸 Web apps in pure Python 🐍
Language: Python
Stars: 6,861(372 stars today) Forks:220
Pynecone is an open-source full-stack Python framework that enables developers to build and deploy web applications quickly and easily. The project offers a command-line tool called `pc` that simplifies the creation of a new project. Pynecone requires Python 3.7+ and Node.js 12.22.0+ to get started. The project provides a variety of components such as `center`, `vstack`, `input`, and `button` to create complex layouts, and developers can use keyword arguments to style the components with the full power of CSS. Pynecone also provides fast refreshes so that developers can see their changes instantly when they save their code. The project can be applied in various fields, such as web development, data science, and machine learning. Commercial applications of the project include developing web applications, building user interfaces for machine learning models, and creating data visualizations.
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Rank #11 futantan/OpenGpt
https://github.com/futantan/OpenGpt
Create your own ChatGPT App in seconds.
Language: TypeScript
Stars: 1,924(162 stars today) Forks:133
OpenGpt is an open-source AI platform created to allow users to use and create ChatGPT applications. The project is built on OpenAI and provides a platform for users to create their own AI applications to solve their own problems. The platform is open-source, and users can follow the progress of the project on Twitter. The project offers various features such as users being able to run every app, create their own app, and use their API token to bypass rate limit restrictions. The platform can be applied in various fields, such as natural language processing and machine learning. Commercial applications of the project include developing AI applications for businesses, creating chatbots, and building virtual assistants. The project is still in development, and future plans include adding user login functionality, allowing users to like and sort applications, and enabling creators to monetize their applications. Users can join the project’s Discord community to discuss the future of the product and contribute to its development.
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Rank #12 openai/openai-cookbook
https://github.com/openai/openai-cookbook
Examples and guides for using the OpenAI API
Language: Jupyter Notebook
Stars: 18,291(491 stars today) Forks:2,479
The OpenAI Cookbook is an open-source project that provides example codes for achieving common tasks with the OpenAI API. These examples are mostly written in Python but can be applied in any language. The OpenAI Cookbook covers various fields, including API usage, ChatGPT, GPT-3, embeddings, fine-tuning GPT-3, DALL-E, and Azure OpenAI. The Cookbook provides guides and examples on how to handle rate limits, stream completions, count tokens with TikTok, and work with large language models, among others. Commercially, the OpenAI Cookbook can be used to build various AI-driven applications, including chatbots, question answering systems, recommendation systems, and image generation and editing systems, among others.
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Rank #13 ayaka14732/ChatGPTAPIFree
https://github.com/ayaka14732/ChatGPTAPIFree
A simple and open-source proxy API that allows you to access OpenAI’s ChatGPT API for free!
Language: JavaScript
Stars: 746(151 stars today) Forks:102
ChatGPT API Free is an open-source proxy API that allows users to access OpenAI’s ChatGPT API for free. The project provides a simple and easy-to-use interface for developers to integrate the ChatGPT model into their applications without having to pay for usage or have an OpenAI API key. The project is built on the belief that the power of artificial intelligence should be accessible to everyone, regardless of their background or financial situation. The project can be applied in various fields, such as chatbots, virtual assistants, and other natural language processing applications. Commercial applications of the project include developing conversational AI applications for businesses, creating chatbots for customer service, and building virtual assistants for personal use. The project has received sponsorships from kind group members, enabling the free API to run for an extended period of time. Users can support the project by sponsoring it or hosting their own API endpoint. The project provides API documentation on the OpenAI official documentation, and users can send a POST request to the endpoint to generate a response to a prompt. The project is a testament to the belief that technology should serve humanity, and the power of AI should be shared by all.
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Rank #14 MasterBin-IIAU/UNINEXT
https://github.com/MasterBin-IIAU/UNINEXT
[CVPR’23] Universal Instance Perception as Object Discovery and Retrieval
Language: Python
Stars: 199(38 stars today) Forks:12
The Universal Instance Perception as Object Discovery and Retrieval is an open-source project that implements the paper of the same name. The project aims to provide a universal instance perception system that can discover and retrieve objects in various settings. The project can be applied in various fields, such as visual object tracking, multiple object tracking and segmentation, video instance segmentation, and referring expression segmentation and comprehension. The project has received recognition from Papers with Code for its state-of-the-art performance in these fields. Commercial applications of the project include developing object detection and recognition systems for businesses, creating visual tracking and segmentation systems for security and surveillance, and building referring expression comprehension systems for human-computer interaction. The project utilizes deep learning techniques and provides a framework for developers to easily experiment with different models and algorithms. The project is a testament to the power of open-source development and the potential of deep learning to revolutionize computer vision and object recognition.
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Rank #15 cocktailpeanut/dalai
https://github.com/cocktailpeanut/dalai
The simplest way to run LLaMA on your local machine
Language: JavaScript
Stars: 1,736(273 stars today) Forks:86
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 #16 thu-ml/unidiffuser
https://github.com/thu-ml/unidiffuser
Code and models for the paper “One Transformer Fits All Distributions in Multi-Modal Diffusion”
Language: Python
Stars: 527(122 stars today) Forks:26
UniDiffuser is an open-source project that provides a unified diffusion framework to fit all distributions relevant to a set of multi-modal data in one model. The project is based on the paper “One Transformer Fits All Distributions in Multi-Modal Diffusion”. The key insight of UniDiffuser is that learning diffusion models for marginal, conditional, and joint distributions can be unified as predicting the noise in the perturbed data, where the perturbation levels can be different for different modalities. UniDiffuser is parameterized by a transformer for diffusion models to handle input types of different modalities. The project can be applied in various fields, such as image generation, text generation, text-to-image generation, image-to-text generation, and image-text pair generation. Commercial applications of the project include developing generative models for businesses, creating image and text synthesis systems for entertainment and media, and building image and text captioning systems for social media and advertising. UniDiffuser is implemented on large-scale paired image-text data and is able to produce perceptually realistic samples in all tasks. The project’s quantitative results are superior to existing general-purpose models and comparable to bespoke models in representative tasks. The project requires PyTorch, torchvision, and other dependencies, which can be installed using the provided instructions. The project also provides pretrained models that can be downloaded from Hugging Face.
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Rank #17 xx025/carrot
https://github.com/xx025/carrot
这儿收集了一些免费好用的ChatGPT镜像站 当前：55个站点
Language:
Stars: Star(200 stars today) Forks:98
The Free ChatGPT Site List is a collection of free and useful ChatGPT mirror sites. The list includes various sites that offer ChatGPT services, such as virtual assistants, text-based games, and writing tools. Each site is marked with a symbol that indicates its usage restrictions, such as requiring a login or having limited usage before requiring a key or recharge. The project can be applied in various fields, including natural language processing, conversational agents, and chatbots. Commercial applications of this project include chatbots for customer service, virtual assistants for personalized content creation, and text-based games for entertainment. The project welcomes contributions from users to add new sites or report any issues with existing ones. Overall, the Free ChatGPT Site List provides a valuable resource for developers and users alike to access ChatGPT services for free.
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Rank #18 Genymobile/scrcpy
https://github.com/Genymobile/scrcpy
Display and control your Android device
Language: C
Stars: 78,851(417 stars today) Forks:8,181
Scrcpy is a free and open-source application that allows users to mirror an Android device’s screen (video and audio) on a computer via USB or TCP/IP. It offers the ability to control the device using the computer’s keyboard and mouse without requiring root access. The application is available on Linux, Windows, and macOS. Scrcpy focuses on lightness, performance, quality, low latency, low startup time, non-intrusiveness, user benefits, and freedom. Its features include audio forwarding, recording, mirroring with the Android device screen off, copy-paste in both directions, configurable quality, Android device as a webcam (V4L2) (Linux-only), physical keyboard/mouse simulation (HID), and OTG mode. The application is useful for developers, gamers, and anyone who wants to display their Android device’s screen on a computer. It can be used in various fields, such as app development, mobile gaming, and mobile testing. Commercial applications of Scrcpy include using it as a tool for remote support, presentations, and demonstrations
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Rank #19 upscayl/upscayl
https://github.com/upscayl/upscayl
🆙 Upscayl — Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy.
Language: TypeScript
Stars: 10,198(69 stars today) Forks:278
Upscayl is a free and open-source AI image upscaler that can be used on various platforms, with a focus on Linux. It is a cross-platform application that prioritizes Linux builds but is also compatible with other operating systems. To use Upscayl, a Vulkan-compatible GPU is required for upscaling images. The application can be downloaded from the releases section of the Github page. Upscayl is useful for anyone who needs to upscale images, such as photographers, graphic designers, and artists. Commercial applications of Upscayl include its use in the film and television industry for upscaling low-resolution footage to higher resolutions. The project is currently in development, with version 2.5 expected to be released in March 2023.
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Rank #20 poorjobless/pinduoduo_backdoor_code
https://github.com/poorjobless/pinduoduo_backdoor_code
拼多多事件的脱壳后的部分代码
Language: C
Stars: 134(29 stars today) Forks:72
The pinduoduo_backdoor_code project is an open-source repository that contains partially decompiled code for the manwe and nvwa virtual machine libraries used in the Pinduoduo app. The code is provided to facilitate analysis and the creation of tools to remove the app’s shell. The project also includes a disclaimer stating that the owner is not responsible for any malicious use of the code.
The project is relevant to the field of software security and can be used by researchers and developers who are interested in analyzing and understanding the vulnerabilities present in the Pinduoduo app. The project’s information also highlights the vulnerability of Android devices that have not been upgraded to Android 13 and the risk of attacks that can be carried out through the Parcel mechanism.
Commercial applications for this project could include the development of security tools and services that help identify and mitigate vulnerabilities in software applications.
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Rank #21 orhun/halp
https://github.com/orhun/halp
A CLI tool to get help with CLI tools 🐙
Language: Rust
Stars: 360(134 stars today) Forks:8
The halp project is an open-source command-line tool that helps users find the correct arguments for other command-line tools by checking a predefined list of commonly used options/flags. It also provides a prompt for quick access to the manual page or cheat sheet of a given command. The project is relevant to the field of software development and can be used by developers and system administrators who frequently use command-line tools.
Commercial applications for this project could include the development of software tools and services that help streamline and optimize command-line workflows for businesses and organizations. For example, a company that relies heavily on command-line tools could use halp to help their employees quickly and easily find the correct arguments for various tools, saving time and increasing productivity.
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Rank #22 acheong08/EdgeGPT
https://github.com/acheong08/EdgeGPT
Reverse engineered API of Microsoft’s Bing Chat
Language: Python
Stars: 2,895(180 stars today) Forks:276
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 #23 Const-me/Whisper
https://github.com/Const-me/Whisper
High-performance GPGPU inference of OpenAI’s Whisper automatic speech recognition (ASR) model
Language: C++
Stars: 694(188 stars today) Forks:54
The WhisperDesktop project is a Windows port of the whisper.cpp implementation, which is a C++ port of OpenAI’s Whisper automatic speech recognition (ASR) model. The project provides a vendor-agnostic GPGPU based on DirectCompute, which is a technology that uses compute shaders in Direct3D 11. The project is a plain C++ implementation with no runtime dependencies except essential OS components. The project is much faster than OpenAI’s implementation and has low memory usage. The project supports mixed F16/F32 precision and has a built-in performance profiler that measures the execution time of individual compute shaders. The project uses Media Foundation for audio handling and supports most audio and video formats. The project has voice activity detection for audio capture based on a real-time voice activity detection algorithm. The project has an easy-to-use COM-style API with an idiomatic C# wrapper available on NuGet. The project provides pre-built binaries and supports 64-bit Windows. The project requires a Direct3D 11.0 capable GPU and SSE 4.1 and F16C support on the CPU side. The project can be used to develop speech recognition software and can be applied in various fields, including natural language processing, speech-to-text transcription, and voice-controlled interfaces. Commercial applications of this project include speech recognition for virtual assistants, voice-controlled devices, and transcription software. The project provides a quick start guide and a developer guide with build instructions for the native DLL, C# wrapper, and examples. Overall, the WhisperDesktop project provides a valuable tool for developers working in the field of speech recognition and natural language processing.
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Rank #24 facebookresearch/llama
https://github.com/facebookresearch/llama
Inference code for LLaMA models
Language: Python
Stars: 11,434(517 stars today) Forks:1,718
The LLaMA project is an open-source project that provides a minimal, hackable, and readable example of how to load LLaMA models and run inference. LLaMA is a large language model developed by Facebook AI that can be used for a variety of natural language processing tasks, including text generation, question answering, and language translation. The project can be applied in a variety of fields, including machine learning, natural language processing, and artificial intelligence.
Commercial applications for this project could include the development of software tools and services that utilize large language models for various natural language processing tasks. For example, a company that develops chatbots or virtual assistants could use LLaMA to improve the accuracy and efficiency of their natural language processing algorithms. Additionally, the project could be used to develop new language models or improve existing ones, which could have applications in fields such as machine translation, sentiment analysis, and speech recognition.
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