Top 25 Github Projects with the Fastest Growth on 03/17/2023: A Daily Ranking Report
Rank #1 dreamworksanimation/openmoonray
https://github.com/dreamworksanimation/openmoonray
Language: CMake
Stars: 1,863(500 stars today) Forks:105
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 #2 comfyanonymous/ComfyUI
https://github.com/comfyanonymous/ComfyUI
A powerful and modular stable diffusion GUI with a graph/nodes interface.
Language: Python
Stars: 1,924(477 stars today) Forks:161
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 #3 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: 525(113 stars today) Forks:36
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 #4 setzer22/llama-rs
https://github.com/setzer22/llama-rs
Run LLaMA inference on CPU, with Rust 🦀🚀🦙
Language: Rust
Stars: 999(353 stars today) Forks:28
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 #5 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: 1,087(107 stars today) Forks:152
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 #6 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: 1,631(321 stars today) Forks:119
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 #7 acheong08/EdgeGPT
https://github.com/acheong08/EdgeGPT
Reverse engineered API of Microsoft’s Bing Chat
Language: Python
Stars: 3,295(243 stars today) Forks:301
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 #8 apache/incubator-opendal
https://github.com/apache/incubator-opendal
Apache OpenDAL: Access data freely, painlessly, and efficiently.
Language: Rust
Stars: 794(51 stars today) Forks:102
OpenDAL is an open-source project that provides an easy, efficient, and painless way to access data. It offers a variety of services that can be used to access data from different sources, including Azure Storage Blob, Azure Data Lake Storage Gen2, FTP, Google Cloud Storage, Hadoop Distributed File System (HDFS), InterPlanetary File System (IPFS), Memcached, Redis, RocksDB, and AWS S3, among others. OpenDAL also provides support for different backends such as dashmap, moka, and sled. The project is released under the MIT License and welcomes contributions from developers of all levels on Github. OpenDAL can be used in a wide range of fields, including data science, machine learning, and artificial intelligence. It can be used to access and process large datasets, build data pipelines, and create data-driven applications. Commercial applications of OpenDAL include developing data-driven products, creating data pipelines for organizations, and building machine learning models for businesses.
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Rank #9 tloen/alpaca-lora
https://github.com/tloen/alpaca-lora
Finetuning InstructLLaMA on consumer hardware
Language: Jupyter Notebook
Stars: 1,469(348 stars today) Forks:91
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 #10 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: 5,140(1,259 stars today) Forks:413
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 #11 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：60个站点
Language:
Stars: Star(883 stars today) Forks:215
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 brunosimon/folio-2019
https://github.com/brunosimon/folio-2019
Language: JavaScript
Stars: 3,522(130 stars today) Forks:602
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 #13 microsoft/unilm
https://github.com/microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Language: Python
Stars: 11,068(210 stars today) Forks:1,678
The project at aka.ms/nlpagi is a collection of pre-trained models and research projects related to artificial general intelligence (AGI), natural language processing (NLP), machine translation (MT), speech recognition, document AI, and multimodal AI. The project is maintained by Microsoft and is focused on developing large-scale pre-trained models and improving modeling generality and capability, as well as training stability and efficiency for transformers at any scale.
The project has various fields of application, including natural language processing, machine translation, speech recognition, and document AI. The pre-trained models can be used in commercial applications such as chatbots, voice assistants, and document analysis tools. The project’s focus on improving modeling generality and capability can help improve the accuracy and efficiency of these tools, making them more useful in a wide range of industries.
The project is also actively hiring researchers and interns interested in working on foundation models and AGI. The commercial application of this hiring effort is related to the development of cutting-edge AI technologies that can be used in various fields, including healthcare, finance, and marketing. By hiring top talent, Microsoft can continue to develop innovative AI solutions that can help businesses and industries become more efficient and effective.
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Rank #14 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: 27,968(339 stars today) Forks:3,109
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 #15 lapce/lapce
https://github.com/lapce/lapce
Lightning-fast and Powerful Code Editor written in Rust
Language: Rust
Stars: 24,398(53 stars today) Forks:716
Lapce is a code editor that is designed to be fast and powerful. It is written in pure Rust with a UI in Druid, which is also written in Rust. The editor is designed with Rope Science from the Xi-Editor, which makes for lightning-fast computation, and leverages OpenGL for rendering. Lapce features built-in Language Server Protocol (LSP) support, modal editing support, remote development support, and the ability to write plugins in programming languages that can compile to the WASI format.
The project can be applied in various fields such as software development, web development, and data science. The editor’s fast and powerful features can help developers write, debug, and test their code more efficiently, which can save time and improve productivity. The built-in LSP support and remote development support can also help developers get intelligent code features and seamlessly gain the full power of a remote system.
The commercial applications of this project are related to the fact that having a fast and powerful code editor is crucial for software development companies and individual developers. Lapce can help developers write high-quality code more efficiently, which can lead to faster development cycles and better products. The ability to write plugins in programming languages that can compile to the WASI format can also help developers customize the editor to fit their individual needs.
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Rank #16 openai/openai-cookbook
https://github.com/openai/openai-cookbook
Examples and guides for using the OpenAI API
Language: Jupyter Notebook
Stars: 19,205(544 stars today) Forks:2,631
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 #17 karpathy/nanoGPT
https://github.com/karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Language: Python
Stars: 15,115(105 stars today) Forks:1,579
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 #18 openai/evals
https://github.com/openai/evals
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
Language: Python
Stars: 5,113(977 stars today) Forks:749
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks. With Evals, users can create and run evaluations that use datasets to generate prompts, measure the quality of completions provided by an OpenAI model, and compare performance across different datasets and models. This project has potential applications in various fields, such as natural language processing, chatbots, and customer service. Its ability to evaluate and compare different models makes it a useful tool for developers who want to improve their machine learning models. Evals provides a simple and easy-to-follow process for building and running evaluations, with existing eval templates and examples available to guide users. Additionally, OpenAI staff actively review evals when considering improvements to upcoming models, and for a limited time, contributors of high-quality evals will be granted access to GPT-4. This project has commercial applications in industries that rely on machine learning, such as healthcare, finance, and e-commerce, where accurate and efficient models are essential.
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Rank #19 WassimTenachi/PhySO
https://github.com/WassimTenachi/PhySO
Physical Symbolic Optimization
Language: Python
Stars: 849(198 stars today) Forks:115
The $\Phi$-SO (Physical Symbolic Optimization) package `physo` is a symbolic regression package that fully leverages physical units constraints. This package is designed to automatically discover physical laws through deep symbolic regression guided by units constraints. It has been tested on Unix and OSX and supports CUDA acceleration, although using CUDA does not improve performance over a CPU due to the bottleneck of the code being free constant optimization. The package can be applied in various fields such as astrophysics, computational physics, and machine learning. Commercial applications of this project include developing intelligent systems that can automatically discover physical laws and optimize processes in various industries such as manufacturing, energy, and transportation. The project is open-source and can be installed and tested easily using the provided instructions. The authors of the project have also provided a citation for their work.
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Rank #20 chathub-dev/chathub
https://github.com/chathub-dev/chathub
All-in-one chatbot client
Language: TypeScript
Stars: 1,409(176 stars today) Forks:123
ChatHub is a chatbot client that provides an all-in-one solution for using different chatbots in one app. Currently, it supports ChatGPT and new Bing Chat, and will integrate Google Bard and more in the future. With ChatHub, users can chat with multiple chatbots at the same time, making it easy to compare their answers. It also supports ChatGPT API mode, which is faster and more cost-effective than ChatGPT Plus, and provides token usage stats. Additionally, ChatHub has a shortcut to quickly activate the app anywhere in the browser, as well as Markdown and code highlight support. This project has potential applications in various fields, such as natural language processing, chatbots, and customer service. Its ability to support multiple chatbots in one app makes it a convenient tool for users who want to compare the performance of different chatbots. Its features, such as ChatGPT API mode and token usage stats, make it a cost-effective solution for commercial applications.
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Rank #21 pytorch/pytorch
https://github.com/pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Language: C++
Stars: 63,888(78 stars today) Forks:17,714
The PyTorch project is a Python package that provides two high-level features: tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. PyTorch is designed to be flexible and fast, providing a wide variety of tensor routines to accelerate scientific computation needs such as slicing, indexing, mathematical operations, linear algebra, and reductions. PyTorch’s unique way of building neural networks using a tape recorder allows for dynamic neural networks, making it easy to change the way the network behaves without having to start from scratch. PyTorch is useful for researchers and developers working on machine learning projects, particularly those in the field of deep learning. The project’s commercial applications include companies that need to develop and deploy machine learning models for various purposes, such as image and speech recognition, natural language processing, and predictive analytics.
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Rank #22 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: 891(117 stars today) Forks:79
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 #23 nuxt/nuxt
https://github.com/nuxt/nuxt
Nuxt is an intuitive and extendable way to create type-safe, performant and production-grade full-stack web apps and websites with Vue 3.
Language: TypeScript
Stars: 44,239(24 stars today) Forks:3,654
Nuxt is a web development framework that aims to provide an intuitive and high-performing experience for developers. It offers a great developer experience and can be applied in various fields of web development. Nuxt is particularly useful for building server-side rendered applications, static websites, and single-page applications. It also offers a range of modules to help supercharge your Nuxt project. The project has commercial applications in building websites and web applications for businesses, e-commerce platforms, and online marketplaces. Nuxt is open-source and licensed under the MIT license, and it has an active community of developers contributing to its development and maintenance.
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Rank #24 huggingface/transformers
https://github.com/huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Language: Python
Stars: 85,542(210 stars today) Forks:18,632
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 #25 Chanzhaoyu/chatgpt-web
https://github.com/Chanzhaoyu/chatgpt-web
用 Express 和 Vue3 搭建的 ChatGPT 演示网页
Language: Vue
Stars: 7,413(376 stars today) Forks:1,957
This project is called ChatGPT Web, and it is an open-source project that provides two unofficial ChatGPT API methods. It supports dual models and can be used for chatbot development. ChatGPT Web can be applied in various fields, such as customer service, education, healthcare, and more. The project provides two methods for accessing the ChatGPT API: ChatGPTAPI and ChatGPTUnofficialProxyAPI. The former is more reliable but not free, while the latter is free but less reliable. The project also includes features such as multi-session storage, context logic, message formatting, data import/export, saving messages to local images, multilingual interfaces, and more. The project can be packaged and deployed using Docker and can be used to build chatbots for commercial applications.
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