Top Trending Github Projects of 06/10/2023: Discover the Fastest-Growing Repositories Today!
Projects that have already appeared in previous Github ranking lists will not display details, please refer to previous lists for information.
Rank #1 xiangsx/gpt4free-ts
https://github.com/xiangsx/gpt4free-ts
Providing a free OpenAI GPT-4 API ! This is a replication project for the typescript version of xtekky/gpt4free
Language: TypeScript
Stars: 1,126(120 stars today) Forks:197
— — — — — — — — — — — — — — — —
Rank #2 microsoft/AI-For-Beginners
https://github.com/microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
Language: Jupyter Notebook
Stars: 8,388(941 stars today) Forks:1,496
— — — — — — — — — — — — — — — —
Rank #3 IsaacMarovitz/Whisky
https://github.com/IsaacMarovitz/Whisky
A modern Wine wrapper for macOS built with SwiftUI
Language: Swift
Stars: 1,846(436 stars today) Forks:45
— — — — — — — — — — — — — — — —
Rank #4 reactive-python/reactpy
https://github.com/reactive-python/reactpy
It’s React, but in Python
Language: Python
Stars: 4,522(639 stars today) Forks:173
— — — — — — — — — — — — — — — —
Rank #5 intel/intel-one-mono
https://github.com/intel/intel-one-mono
Intel One Mono font repository
Language:
Stars: Star(286 stars today) Forks:56
— — — — — — — — — — — — — — — —
Rank #6 DAMO-NLP-SG/Video-LLaMA
https://github.com/DAMO-NLP-SG/Video-LLaMA
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Language: Python
Stars: 433(49 stars today) Forks:21
The Video-LLaMA project is a language model that aims to enhance large language models with video and audio understanding capabilities. It is built on top of the BLIP-2 and MiniGPT-4 frameworks and consists of two core components: the Vision-Language (VL) Branch and the Audio-Language (AL) Branch. The VL Branch is responsible for visual encoding and utilizes a two-layer video Q-Former and a frame embedding layer to compute video representations. The model is trained on the Webvid-2M video caption dataset and image-text pairs from LLaVA to enhance its understanding of static visual concepts. The AL Branch is responsible for audio encoding and utilizes a Wav2Vec2 model to extract audio features. The Video-LLaMA project has various commercial applications, such as video and audio captioning, video search, and video recommendation systems. It can be applied in fields such as media and entertainment, education, and marketing.
— — — — — — — — — — — — — — — —
Rank #7 ray-project/ray
https://github.com/ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Language: Python
Stars: 25,979(20 stars today) Forks:4,632
Ray is a unified framework for scaling AI and Python applications. It consists of a core distributed runtime and a toolkit of libraries for simplifying ML compute, collectively known as Ray AIR. Ray AIR includes libraries such as Data for scalable datasets, Train for distributed training, Tune for scalable hyperparameter tuning, RLlib for scalable reinforcement learning, and Serve for scalable and programmable serving. Ray also features key abstractions such as Tasks, Actors, and Objects, which allow for stateless functions, stateful worker processes, and immutable values to be executed and accessed across the cluster. Ray can run on any machine, cluster, cloud provider, and Kubernetes, and features a growing ecosystem of community integrations. Ray’s ability to seamlessly scale the same code from a laptop to a cluster makes it a valuable tool for fields such as machine learning, data analysis, and scientific computing. Its commercial applications include improving the efficiency of AI and Python applications, reducing the time and cost of development, and enabling faster and more accurate decision-making.
— — — — — — — — — — — — — — — —
Rank #8 christianselig/apollo-backend
https://github.com/christianselig/apollo-backend
Apollo backend server
Language: Go
Stars: 2,512(1,344 stars today) Forks:362
The Apollo API is a project that provides a platform for developers to build web applications and APIs. It offers a set of tools and libraries that enable developers to create, manage, and deploy APIs quickly and efficiently. This project can be applied in various fields, including e-commerce, social media, finance, and healthcare.
The Apollo API is designed to help businesses and organizations streamline their development processes, reduce development time, and improve the quality of their applications. It provides a scalable and reliable infrastructure, making it ideal for commercial applications that require high performance and availability.
To get started with the Apollo API, developers can use the provided bootstrap script to set up their development environment. They can then run the server using the script/server command. With its ease of use and flexibility, the Apollo API is a valuable tool for developers looking to build robust and scalable web applications and APIs.
— — — — — — — — — — — — — — — —
Rank #9 iv-org/invidious
https://github.com/iv-org/invidious
Invidious is an alternative front-end to YouTube
Language: Crystal
Stars: 10,573(343 stars today) Forks:1,146
Invidious is an open-source alternative front-end to YouTube that provides users with a lightweight, ad-free, and tracking-free experience. It does not require JavaScript and offers both light and dark themes. Users can customize their homepage and subscriptions, which are independent of Google. Invidious also supports notifications for all subscribed channels, audio-only mode (with background play on mobile), and Reddit comments. The platform is available in many languages thanks to their translators. Invidious offers a range of data import/export features, such as importing subscriptions from YouTube, NewPipe, and Freetube, and exporting subscriptions to NewPipe and Freetube. It also has technical features such as embedded video support and a developer API. Invidious does not use official YouTube APIs and does not require a Contributor License Agreement (CLA). Invidious can be used by selecting a public instance from the list or can be hosted by following the installation instructions. The project has a documentation website that can be accessed online, and users can contribute to the project by submitting code or translations through Weblate. Invidious can be applied in fields such as media and entertainment, education, and marketing. Its commercial applications include providing a more user-friendly and privacy-focused alternative to YouTube, reducing the amount of data collected by Google, and enabling users to have more control over their video-watching experience.
— — — — — — — — — — — — — — — —
Rank #10 ciaochaos/qrbtf
https://github.com/ciaochaos/qrbtf
An art QR code (qrcode) beautifier. 艺术二维码生成器。https://qrbtf.com
Language: JavaScript
Stars: 3,724(285 stars today) Forks:319
— — — — — — — — — — — — — — — —
Rank #11 Mintplex-Labs/anything-llm
https://github.com/Mintplex-Labs/anything-llm
A full-stack application that turns any documents into an intelligent chatbot with a sleek UI and easier way to manage your workspaces.
Language: JavaScript
Stars: 458(63 stars today) Forks:52
AnythingLLM is a full-stack personalized AI assistant that enables users to turn any document, resource, or piece of content into a piece of data that any LLM (Long-term Memory) can use as reference during chatting. The application runs with minimal overhead and supports Pinecone, ChromaDB, and OpenAI for vector storage and LLM/chatting. AnythingLLM divides documents into objects called “workspaces,” which function like threads but with containerization of documents to keep context clean. The application has features such as atomically managing documents, two chat modes (conversation and query), and cost-saving measures for managing large documents. The technical overview of the project consists of three main sections: collector, frontend, and server. The collector is a Python tool that converts online resources or local documents into LLM usable formats. The frontend is a ViteJS + React frontend to create and manage content. The server is a NodeJS + Express server to handle interactions, vectorDB management, and LLM interactions. AnythingLLM can be used in fields such as customer service, education, and marketing. Its commercial applications include providing a more personalized and efficient customer service experience, improving the efficiency of educational resources, and enabling faster and more accurate decision-making.
— — — — — — — — — — — — — — — —
Rank #12 QiuChenlyOpenSource/MyMacsAppCrack
https://github.com/QiuChenlyOpenSource/MyMacsAppCrack
MacBook 自用软件破解（macOS Intel）
Language: Shell
Stars: 1,516(171 stars today) Forks:211
The macOS Apps Inject Plugin is a project that creates an injection Dylib file to patch certain macOS applications. The purpose of the project is to demonstrate software security vulnerabilities on macOS, and it does not distribute any form of finished App or charge any fees. The project is for educational purposes only and should not be used for any illegal activities. The author of the project states that any legal responsibility resulting from the use or distribution of the project is solely the responsibility of the user. The project is open source and uses the GPLV3 license. The project can be applied in the field of software security and can be used to demonstrate vulnerabilities in macOS applications. Its commercial applications are limited, as it is not intended to be used for commercial purposes.
— — — — — — — — — — — — — — — —
Rank #13 apple/homebrew-apple
https://github.com/apple/homebrew-apple
Language: Ruby
Stars: 1,988(102 stars today) Forks:59
— — — — — — — — — — — — — — — —
Rank #14 datawhalechina/prompt-engineering-for-developers
https://github.com/datawhalechina/prompt-engineering-for-developers
吴恩达大模型系列课程中文版，包括《Prompt Engineering》、《Building System》和《LangChain》
Language: Jupyter Notebook
Stars: 4,226(141 stars today) Forks:471
— — — — — — — — — — — — — — — —
Rank #15 TabbyML/tabby
https://github.com/TabbyML/tabby
Self-hosted AI coding assistant
Language: TypeScript
Stars: 7,107(92 stars today) Forks:194
— — — — — — — — — — — — — — — —
Rank #16 PaperMC/Paper
https://github.com/PaperMC/Paper
High performance Spigot fork that aims to fix gameplay and mechanics inconsistencies
Language: Java
Stars: 7,550(17 stars today) Forks:1,887
Paper is a high-performance Spigot fork designed to address gameplay and mechanics inconsistencies. It is an open-source project with support and discussion available on the project’s forums, Discord, or IRC. The project can be applied in the field of game development and can be used to create high-performance Minecraft servers with improved gameplay and mechanics. Its commercial applications include the creation of custom Minecraft servers for individual or commercial use. Paper provides documentation on how to use the software for server administrators and plugin developers. The software can be compiled from source using JDK 17. The project is supported through Open Collective, which manages expenses related to infrastructure and allows for transparent financial support.
— — — — — — — — — — — — — — — —
Rank #17 fractureiser-investigation/fractureiser
https://github.com/fractureiser-investigation/fractureiser
Information about the fractureiser malware
Language: Java
Stars: 845(137 stars today) Forks:64
— — — — — — — — — — — — — — — —
Rank #18 tremorlabs/tremor
https://github.com/tremorlabs/tremor
The React library to build dashboards fast.
Language: TypeScript
Stars: 9,442(422 stars today) Forks:237
Tremor is a react library designed to create simple and modular components for building insightful dashboards. It is fully open-source and made by data scientists and software engineers with a sweet spot for design. The project can be applied in the field of data visualization and can be used to create customizable dashboards for individual or commercial use. Its commercial applications include the creation of custom dashboards for businesses to track key performance indicators, monitor metrics, and analyze data. Tremor provides documentation on how to use the library for new projects and offers installation guides for manual installation. The project is supported through contributions from the community, and pull requests for bug fixes and new features are welcome. Tremor is licensed under the Apache License 2.0.
— — — — — — — — — — — — — — — —
Rank #19 SysCV/sam-hq
https://github.com/SysCV/sam-hq
Segment Anything in High Quality
Language:
Stars: Star(117 stars today) Forks:36
— — — — — — — — — — — — — — — —
Rank #20 FranxYao/chain-of-thought-hub
https://github.com/FranxYao/chain-of-thought-hub
Benchmarking large language models’ complex reasoning ability with chain-of-thought prompting
Language: Jupyter Notebook
Stars: 1,224(31 stars today) Forks:60
The Chain-of-Thought Hub is a project that measures the reasoning performance of Large Language Models (LLMs) through a list of complex reasoning tasks, including math, science, symbolic, knowledge, coding, and factual tasks. The project aims to differentiate the performance of LLMs on complex tasks, which is a key differentiator between models. The project is open-source and invites contributions from the community to fill in missing numbers in the table, suggest new tasks that can differentiate models’ performance, or suggest new models that can be added to the table. The project can be applied in the field of natural language processing and can be used to evaluate the performance of LLMs for individual or commercial use. Its commercial applications include the development of LLM-based new applications, such as chatbots or intelligent assistants. The results and scripts from the Chain-of-Thought Hub are being used and referred to by leading industrial and academic organizations in the space of Large Language Models. The project is supported by a team of researchers from the University of Edinburgh, University of Washington, Allen Institute for AI, and the University of Waterloo.
— — — — — — — — — — — — — — — —
Rank #21 pittcsc/Summer2024-Internships
https://github.com/pittcsc/Summer2024-Internships
Collection of Summer 2023 & Summer 2024 tech internships!
Language:
Stars: Star(125 stars today) Forks:1,867
— — — — — — — — — — — — — — — —
Rank #22 bregman-arie/devops-exercises
https://github.com/bregman-arie/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Language: Python
Stars: 43,910(174 stars today) Forks:9,799
— — — — — — — — — — — — — — — —
Rank #23 MCRcortex/nekodetector
https://github.com/MCRcortex/nekodetector
Nekoclient infection detector
Language: Java
Stars: 518(339 stars today) Forks:59
— — — — — — — — — — — — — — — —
Rank #24 Hufe921/canvas-editor
https://github.com/Hufe921/canvas-editor
rich text editor by canvas/svg
Language: TypeScript
Stars: 1,111(175 stars today) Forks:149
— — — — — — — — — — — — — — — —
Rank #25 Visualize-ML/Book4_Power-of-Matrix
https://github.com/Visualize-ML/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
Language: Python
Stars: 3,169(143 stars today) Forks:428
The project information provided seems to be links to discounted access to two books, “Mathematical Elements” and “Matrix Power,” on the Chinese social media platform Zhihu. The books cover topics in mathematics and matrices and are available at a discounted price through the provided links. The project can be applied in the field of self-education and can be used by individuals interested in learning about mathematics and matrices. Its commercial applications are limited, as the project appears to be focused on providing educational resources rather than generating revenue. The project is supported through open-source resources and offers the opportunity for correction suggestions from readers, with the possibility of receiving a book as a thank-you gesture.
— — — — — — — — — — — — — — — —
