Top 25 Fastest Growing Github Projects on 03/18/2023: A Daily Report on Github’s Trending Repositories
Rank #1 tloen/alpaca-lora
https://github.com/tloen/alpaca-lora
Instruct-tuning LLaMA on consumer hardware
Language: Jupyter Notebook
Stars: 2,087(1,062 stars today) Forks:149
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 #2 microsoft/semantic-kernel
https://github.com/microsoft/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
Language: C#
Stars: 562(305 stars today) Forks:63
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 #3 acheong08/EdgeGPT
https://github.com/acheong08/EdgeGPT
Reverse engineered API of Microsoft’s Bing Chat
Language: Python
Stars: 3,427(203 stars today) Forks:312
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 #4 comfyanonymous/ComfyUI
https://github.com/comfyanonymous/ComfyUI
A powerful and modular stable diffusion GUI with a graph/nodes interface.
Language: Python
Stars: 2,292(412 stars today) Forks:189
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 #5 Akegarasu/ChatGLM-webui
https://github.com/Akegarasu/ChatGLM-webui
A WebUI for ChatGLM-6B
Language: Python
Stars: 239(45 stars today) Forks:22
ChatGLM-webui is a web user interface for ChatGLM, a conversational AI model developed by THUDM. The project is designed to provide an easy-to-use interface for users to interact with the ChatGLM model. ChatGLM is a large pre-trained model that can be fine-tuned on specific conversational tasks. The web user interface allows users to input text and receive responses from the ChatGLM model. The project can be applied in various fields, including chatbots, customer service, and virtual assistants. The commercial applications of ChatGLM-webui include building chatbot applications for businesses, providing customer service support, and developing virtual assistants for various industries. The project requires Python 3.10 and can be installed using pip or the provided installation script. The web user interface can be launched using the `python webui.py` command with various optional arguments, such as specifying the model path, launching the interface on a specific port, and enabling CPU usage.
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Rank #6 storybookjs/storybook
https://github.com/storybookjs/storybook
Storybook is a frontend workshop for building UI components and pages in isolation. Made for UI development, testing, and documentation.
Language: TypeScript
Stars: 77,425(20 stars today) Forks:8,233
Storybook is a frontend workshop tool designed to help developers build UI components and pages in isolation. It is widely used by thousands of teams for UI development, testing, and documentation. The project provides a user-friendly interface for developers to create and test UI components without having to integrate them into a larger application. It can be applied in various fields, including web development, mobile app development, and UI design. Storybook supports multiple frameworks, including React, Vue, and Angular, and comes with a lot of addons for component design, documentation, testing, and interactivity. The project’s API is highly configurable and extendable, making it possible to customize it to fit specific project requirements. The commercial applications of Storybook include building UI components for web and mobile applications, creating design systems, and improving UI development workflows. The project is well-documented and supported by a vibrant community, with additional help available on the Storybook Discord server. The project is licensed under the MIT License, allowing for commercial use and distribution.
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Rank #7 202252197/ChatGPT_JCM
https://github.com/202252197/ChatGPT_JCM
GPT多模型聊天项目，GPT-4已发布，接口开放后本项目将第一时间适配。后期会一点一点的将OpenAI接口进行接入大家支持一下呗，微信群号在下方，右上角点个Star，我会一直更新下去。
Language: Vue
Stars: 499(45 stars today) Forks:58
The Multi-Model ChatGPT Web project is a Vue2-based web application that offers a visually appealing user interface for interacting with OpenAI’s GPT models. The project provides a shell for GPT models and includes features such as chat completion, image creation, audio transcription, and translation. The project is open source and free to use under the Apache2.0 license. The project is suitable for developers who want to learn about GPT models and their applications in various fields. Commercial applications of this project include developing chatbots, language translation tools, and image generation applications. The project is still under development, and there are several features that are yet to be added, such as fine-tuning, file management, and multi-language support. The developer behind the project is a 19-year-old who is passionate about programming and loves to share his knowledge with others. The project is not an official OpenAI product, and the developer is not affiliated with OpenAI.
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Rank #8 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: 988(341 stars today) Forks:39
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 #9 brunosimon/folio-2019
https://github.com/brunosimon/folio-2019
Language: JavaScript
Stars: 3,551(138 stars today) Forks:606
Folio 2019 is a web-based project that appears to be a portfolio website template built using Node.js and Parcel.js. The project can be used by web developers or designers to create their own portfolio websites. It can be applied in various fields such as web development, graphic design, and digital marketing.
The project’s commercial applications are related to the fact that having a professional portfolio website is crucial for freelancers or individuals who want to showcase their work and attract potential clients. Folio 2019 provides a modern and responsive design that can help users create a visually appealing portfolio website easily. The project is also open-source, which means that it can be customized and adapted to fit individual needs.
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Rank #10 jtmuller5/The-HustleGPT-Challenge
https://github.com/jtmuller5/The-HustleGPT-Challenge
Empowering Your Programming Journey with AI-Powered Conversations
Language:
Stars: Sponsor(244 stars today) Forks:16
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 #11 xx025/carrot
https://github.com/xx025/carrot
这儿收集了一些免费好用的ChatGPT镜像站和其他AI站点，当前：76个站点
Language:
Stars: Star(719 stars today) Forks:246
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 #12 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: 28,238(295 stars today) Forks:3,129
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 #13 THUDM/ChatGLM-6B
https://github.com/THUDM/ChatGLM-6B
ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
Language: Python
Stars: 5,678(1,180 stars today) Forks:448
ChatGLM-6B is an open-source language model for dialogue that supports both Chinese and English. It is based on the General Language Model (GLM) architecture and has 6.2 billion parameters. It is optimized for Chinese QA and dialogue using techniques similar to ChatGPT. After training on approximately 1T bilingual tokens and using techniques such as supervised fine-tuning, feedback self-help, and human feedback reinforcement learning, ChatGLM-6B can generate responses that are quite consistent with human preferences. However, due to its small size, there are currently known limitations, such as factual/mathematical logic errors, potential generation of harmful/biased content, weak contextual ability, self-awareness confusion, and content that is completely contradictory to English or Chinese instructions. ChatGLM-6B can be deployed locally on consumer-grade graphics cards with as little as 6GB of memory using model quantization technology. It has potential applications in various fields, such as natural language processing, chatbots, and customer service. Its low hardware requirements make it a cost-effective solution for commercial applications.
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Rank #14 GitHubDaily/GitHubDaily
https://github.com/GitHubDaily/GitHubDaily
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
Language:
Stars: Star(71 stars today) Forks:2,316
GitHubDaily is a platform that aims to help developers discover the latest open-source projects and expand their technical knowledge. Since its establishment in October 2015, GitHubDaily has shared over 3000 open-source projects, including technical materials, developer tools, programming websites, and mature applications. The platform also helps developers spread and share high-quality open-source projects on various social media platforms. The project information provided in this post is a retrospective of the recommended projects by GitHubDaily in 2022, classified into different categories such as Java, Python, Front-end, Tools, Plugins, and more. The recommended projects cover a wide range of fields, including e-commerce systems, permission management systems, personal blog systems, online exam systems, and more. These projects can be applied in various commercial applications and can help developers to enhance their programming skills by learning from the open-source projects.
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Rank #15 mckaywrigley/chatbot-ui-pro
https://github.com/mckaywrigley/chatbot-ui-pro
A ChatGPT clone for running locally in your browser.
Language: TypeScript
Stars: 289(135 stars today) Forks:54
Chatbot UI Pro is an advanced chatbot kit for OpenAI’s chat models, built on top of Chatbot UI using Next.js, TypeScript, and Tailwind CSS. The project aims to mimic ChatGPT’s interface and functionality and allows for all conversations to be stored locally on the user’s device. The project can be applied in various fields, including customer service, education, and entertainment. The commercial applications of Chatbot UI Pro include building web-based chat applications for businesses and organizations that use chatbots to interact with their customers or users. The project provides a demo, updates, modifications, and deployment instructions for users to customize and deploy their version of the chatbot UI. The project is designed to be easily modified by users to fit their specific needs, with specific files designated for chat interface, sidebar interface, and system prompt modifications. The project can be deployed on Vercel or Replit, and users can run it locally by cloning the repository and following the provided instructions. The project is open to contributions from other developers, and the creator can be contacted on Twitter for any questions or suggestions.
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Rank #16 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: 9,178(780 stars today) Forks:920
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 #17 reactjs/reactjs.org
https://github.com/reactjs/reactjs.org
The React documentation website
Language: JavaScript
Stars: 8,813(17 stars today) Forks:6,958
Reactjs.org is a Github project that contains the source code and documentation used to power the website Reactjs.org. The project is designed to help developers get started with React, a popular JavaScript library for building user interfaces. The project can be applied in various fields, including web development, software development, and user interface design. Reactjs.org is an excellent resource for developers who want to learn React, as it provides comprehensive documentation, tutorials, and examples. The commercial applications of Reactjs.org include building web-based applications for various industries, such as e-commerce, education, and entertainment. The project provides instructions for getting started with Reactjs.org, including prerequisites and installation. The project is open to contributions from other developers, and the creator provides guidelines for contributing to the documentation. The project also includes instructions for testing and troubleshooting issues that may arise. The content submitted to Reactjs.org is licensed under CC-BY-4.0, as found in the LICENSE-DOCS.md file.
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Rank #18 dreamworksanimation/openmoonray
https://github.com/dreamworksanimation/openmoonray
Language: CMake
Stars: 2,294(447 stars today) Forks:141
MoonRay is an open-source, state-of-the-art production MCRT renderer developed by DreamWorks. It has been used in several award-winning feature films, including How to Train Your Dragon: The Hidden World, Abominable, The Croods: A New Age, Trolls World Tour, The Bad Guys, The Boss Baby: Family Business, and Puss In Boots: The Last Wish. MoonRay is a physically based renderer with an extensive library of production-tested materials and supports multi-machine and cloud rendering through the Arras distributed computation framework. MoonRay is in continuous active development and includes a USD Hydra render delegate. The project is available on Github and can be cloned along with its submodules. MoonRay has a wide range of applications in the animation and film industry and can be used for creating high-quality visual effects and animations. Commercial applications of MoonRay include creating animated movies, television shows, and advertisements.
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Rank #19 setzer22/llama-rs
https://github.com/setzer22/llama-rs
Run LLaMA inference on CPU, with Rust 🦀🚀🦙
Language: Rust
Stars: 1,253(326 stars today) Forks:44
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 #20 AUTOMATIC1111/stable-diffusion-webui
https://github.com/AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
Language: Python
Stars: 49,278(386 stars today) Forks:9,169
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 openai/openai-cookbook
https://github.com/openai/openai-cookbook
Examples and guides for using the OpenAI API
Language: Jupyter Notebook
Stars: 19,495(480 stars today) Forks:2,672
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 #22 f/awesome-chatgpt-prompts
https://github.com/f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
Language: HTML
Stars: 44,460(534 stars today) Forks:5,240
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 #23 THUDM/GLM
https://github.com/THUDM/GLM
GLM (General Language Model)
Language: Python
Stars: 786(27 stars today) Forks:105
GLM is a General Language Model that has been pre-trained with an autoregressive blank-filling objective. It can be fine-tuned on various natural language understanding and generation tasks. The GLM framework has been optimized for Chinese QA and dialogue and has been released as ChatGLM-6B, an open pre-trained language model with 6 billion parameters. The GLM framework has also been used to create open pre-trained models for English and Chinese, including GLM-Base, GLM-Large, GLM-Large-Chinese, GLM-Doc, GLM-410M, GLM-515M, GLM-RoBERTa, GLM-2B, and GLM-10B. These models can be downloaded from OneDrive or Tsinghua-Cloud. GLM can be applied in various fields, including natural language processing, machine learning, and artificial intelligence. Commercial applications of GLM include chatbots, virtual assistants, and language translation tools.
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Rank #24 karpathy/nanoGPT
https://github.com/karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Language: Python
Stars: 15,287(269 stars today) Forks:1,600
nanoGPT is an open-source repository for training/finetuning medium-sized GPTs. It is a simplified version of minGPT and is still under active development. The code is easy to understand and customize, with `train.py` and `model.py` being the main files. The repository currently reproduces GPT-2 (124M) on OpenWebText, running on a single 8XA100 40GB node in about 4 days of training. The code can be easily modified to train new models or fine-tune pre-trained models. Dependencies include PyTorch, NumPy, transformers, datasets, tiktoken, and tqdm. nanoGPT can be applied to several fields such as natural language processing, language modeling, and text generation. Commercial applications include chatbots, recommendation systems, and content creation tools.
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Rank #25 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: 6,094(88 stars today) Forks:1,266
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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