Top Trending GitHub Projects on 09/29/2023: Unveiling the Hottest Developer Buzz!

Projects that have already appeared in previous Github ranking lists will not display details, please refer to previous lists for information.

Rank #1 mistralai/mistral-src
https://github.com/mistralai/mistral-src
Reference implementation of Mistral AI 7B v0.1 model.
Language: Python
Stars: 968(327 stars today) Forks:48
The Mistral Transformer project is a repository that contains the minimal code required to run the Mistral 7B model. It is a language model developed by Mistral AI. The project provides code for both running a demo of the model and interacting with it using custom prompts.The Mistral 7B model can be applied in various fields that require language generation or text completion tasks. It can be used in natural language processing, chatbots, text generation, content creation, and other related applications.In terms of commercial applications, the Mistral Transformer project can be utilized to build chatbot systems for customer support or virtual assistants. It can also be used to generate text-based content for marketing campaigns, content creation platforms, and social media management tools.The project includes instructions for installation, downloading the model, and running the code. It also provides options to customize the model’s behavior such as adjusting temperature or maximum tokens.Additionally, the project explores the concept of sliding window attention as a technique to speed up inference and reduce memory pressure in the model. This feature enhances the model’s efficiency and scalability in real-time applications.Overall, the Mistral Transformer project offers a powerful language model that can be leveraged in various fields and commercial applications requiring text generation and completion.
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Rank #2 microsoft/autogen
https://github.com/microsoft/autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
Language: Jupyter Notebook
Stars: 1,189(561 stars today) Forks:136
AutoGen is a framework that makes it easy to develop LLM (Language Model) applications using multiple agents that can converse with each other to solve tasks. It is a spinoff from FLAML and enables building next-gen LLM applications based on multi-agent conversations with minimal effort. AutoGen simplifies the orchestration, automation, and optimization of a complex LLM workflow, maximizing the performance of LLM models and overcoming their weaknesses. AutoGen supports diverse conversation patterns for complex workflows, allowing developers to build a wide range of conversation patterns concerning conversation autonomy, the number of agents, and agent conversation topology. It provides a collection of working systems with different complexities that span a wide range of applications from various domains and complexities, demonstrating how AutoGen can easily support different conversation patterns. AutoGen can be applied in fields such as Natural Language Processing, Artificial Intelligence, and Machine Learning. Commercial applications of AutoGen could include chatbots, virtual assistants, and automation tools for businesses.
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Rank #3 airbnb/javascript
https://github.com/airbnb/javascript
JavaScript Style Guide
Language: JavaScript
Stars: 137,940(1,245 stars today) Forks:26,191
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Rank #4 localstack/localstack
https://github.com/localstack/localstack
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Language: Python
Stars: 48,860(236 stars today) Forks:3,695
Introduction:LocalStack is a cloud service emulator that runs on your local machine or in your CI environment. It provides an easy-to-use test/mocking framework for developing cloud applications. With LocalStack, you can run your AWS applications or Lambdas entirely on your laptop without the need to connect to a remote cloud provider. This project is applicable in the field of cloud application development and testing. It is useful for developers who want to test complex CDK applications or Terraform configurations, as well as those who are learning about AWS services. LocalStack helps to speed up and simplify the testing and development workflow by providing an environment to run AWS services locally.LocalStack supports a growing number of AWS services such as Lambda, S3, DynamoDB, Kinesis, SQS, SNS, and more. The Pro version of LocalStack provides additional APIs and advanced features. It also offers Cloud Developer Tools to make it easier for cloud developers.Commercial applications of this project include cloud application development companies, software testing companies, and educational platforms teaching AWS services. Businesses can use LocalStack to develop and test cloud applications without incurring costs from a remote cloud provider. It also enables easier collaboration in a team setting as developers can run the same environment locally.
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Rank #5 wagtail/wagtail
https://github.com/wagtail/wagtail
A Django content management system focused on flexibility and user experience
Language: Python
Stars: 15,764(58 stars today) Forks:3,361
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Rank #6 EbookFoundation/free-programming-books
https://github.com/EbookFoundation/free-programming-books
📚 Freely available programming books
Language:
Stars: Sponsor(139 stars today) Forks:57,293
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Rank #7 sczhou/ProPainter
https://github.com/sczhou/ProPainter
[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
Language: Python
Stars: 2,179(171 stars today) Forks:213
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Rank #8 microsoft/PowerToys
https://github.com/microsoft/PowerToys
Windows system utilities to maximize productivity
Language: C#
Stars: 96,438(769 stars today) Forks:5,659
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Rank #9 jacklevin74/xenminer
https://github.com/jacklevin74/xenminer

Language: Python
Stars: 121(45 stars today) Forks:92
This project is a proof of work miner that is based on the Argon2ID algorithm. It is resistant to both GPU and ASIC mining, making it fair for all participants. The mining speed is directly proportional to the number of miners you run, and you can run multiple miners on a single computer. The difficulty of mining is automatically adjusted based on the verifier node algorithm, which aims for a production speed of 1 block per second.This miner can be applied in various fields where proof of work is required, such as cryptocurrency mining. It is specifically designed to be resistant to specialized mining hardware, ensuring a level playing field for all participants.In terms of commercial applications, this proof of work miner can be used by individuals or organizations who want to mine cryptocurrencies and earn rewards. It provides a fair and secure mining environment by utilizing the Argon2ID algorithm to prevent mining advantages through specialized hardware.
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Rank #10 R3nzTheCodeGOD/R3nzSkin
https://github.com/R3nzTheCodeGOD/R3nzSkin
Skin changer for League of Legends (LOL)
Language: C++
Stars: 3,044(37 stars today) Forks:486
Introduction:The R3nzSkin project is an internal skin changer for the popular game League of Legends. This project allows players to change the appearance of various elements in the game, including their champion, ward, other champions, towers, minions, and jungle monsters. It provides an automatic skin database update feature to ensure that players have access to the latest skins available.The R3nzSkin project can be applied in the gaming industry, specifically in the field of game customization and personalization. It enables players to tailor their gaming experience by customizing the visual aspects of the game to their preferences. This can enhance the overall gaming experience and allow players to express their individuality within the game.In terms of commercial applications, the R3nzSkin project can be utilized by game developers and publishers to offer additional customization options to players. By incorporating skin changer functionality into their games, developers can provide a unique selling point and attract more players who value customization and personalization in their gaming experience. This can potentially increase revenue through the sale of additional skins and cosmetic items.Overall, the R3nzSkin project provides a powerful tool for League of Legends players to customize their in-game experience. It has applications in the gaming industry and offers commercial opportunities for game developers and publishers.
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Rank #11 CodeWithHarry/Sigma-Web-Dev-Course
https://github.com/CodeWithHarry/Sigma-Web-Dev-Course
Source Code for Sigma Web Development Course
Language: HTML
Stars: 141(47 stars today) Forks:60
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Rank #12 getify/You-Dont-Know-JS
https://github.com/getify/You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.
Language:
Stars: Sponsor(143 stars today) Forks:33,077
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Rank #13 microsoft/terminal
https://github.com/microsoft/terminal
The new Windows Terminal and the original Windows console host, all in the same place!
Language: C++
Stars: 90,633(148 stars today) Forks:8,035
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Rank #14 QwenLM/Qwen
https://github.com/QwenLM/Qwen
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Language: Python
Stars: 5,046(491 stars today) Forks:362
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Rank #15 python-poetry/poetry
https://github.com/python-poetry/poetry
Python packaging and dependency management made easy
Language: Python
Stars: 26,730(9 stars today) Forks:2,095
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Rank #16 streamlit/streamlit
https://github.com/streamlit/streamlit
Streamlit — A faster way to build and share data apps.
Language: Python
Stars: 27,357(21 stars today) Forks:2,436
Streamlit is an open-source, free and all-Python library that allows data scientists and engineers to easily and quickly build and share data scripts as interactive, web-based applications. With Streamlit, users can convert their data scripts into shareable data applications in minutes instead of weeks, potentially revolutionizing the way data-driven projects are developed and shared. The library is highly versatile and can be applied in a variety of fields, including science and technology, NLP and language, computer vision, finance and business, geography and society and more. Streamlit provides a number of elements such as input widgets, dataframes, charts, layouts, and multi-page apps, among others, to enhance and customize the applications. Additionally, the vibrant Streamlit community extends the library’s capabilities through Streamlit Components. The project could have numerous commercial applications, such as data-driven visualizations, real-time dashboards, and interactive reports that can be hosted within an organization’s environment using Streamlit’s Community Cloud platform.
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Rank #17 aigc-apps/sd-webui-EasyPhoto
https://github.com/aigc-apps/sd-webui-EasyPhoto
📷 EasyPhoto | Your Smart AI Photo Generator.
Language: Python
Stars: 2,138(30 stars today) Forks:153
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Rank #18 facebookresearch/detectron2
https://github.com/facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Language: Python
Stars: 26,635(112 stars today) Forks:7,047
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Rank #19 asdcorp/ohook
https://github.com/asdcorp/ohook
An universal Office “activation” hook with main focus of enabling full functionality of subscription editions
Language: C
Stars: 449(141 stars today) Forks:48
The ohook project is an universal Office “activation” hook that focuses on enabling the full functionality of subscription editions. It is primarily released for partners and does not provide direct support to users. This project can be applied in the field of software activation and licensing for Microsoft Office. Commercial applications of this project include providing a workaround for users to activate subscription editions of Office without the need for direct support from Microsoft. It allows partners to create their own solutions and offer support to users who need to activate their Office subscriptions.
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Rank #20 vespa-engine/vespa
https://github.com/vespa-engine/vespa
The open big data serving engine. https://vespa.ai
Language: Java
Stars: 4,726(40 stars today) Forks:554
Vespa is an open big data serving engine that allows users to store, search, organize, and make machine-learned inferences over big data at serving time. It is a platform designed to handle use cases such as search, recommendation, and personalization, where data needs to be selected, evaluated, organized, and aggregated in real-time, all while the data corpus is continuously changing. Vespa is particularly useful for handling large data sets that need to be distributed over multiple nodes and evaluated in parallel. It provides high availability and performance, making it suitable for applications that require processing large amounts of data and serving hundreds of thousands of queries per second.Vespa has been in development for many years and is currently used by several large internet services and apps. It offers capabilities to perform complex operations on big data sets with speed and efficiency. The potential applications of Vespa span various fields, including e-commerce, media and content delivery, advertising, and finance. It can be applied to build search engines, recommendation systems, real-time analytics platforms, and personalized content delivery systems, among others.For installation, users can run their own instance of Vespa following the documentation provided. Alternatively, they can deploy their Vespa applications to the cloud service.Overall, Vespa is a powerful tool for managing and processing big data in real-time, making it suitable for a wide range of commercial applications that rely on efficient data handling and intelligent decision-making.
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Rank #21 Ebazhanov/linkedin-skill-assessments-quizzes
https://github.com/Ebazhanov/linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
Language: Python
Stars: 26,677(25 stars today) Forks:13,337
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Rank #22 dotnet/maui
https://github.com/dotnet/maui
.NET MAUI is the .NET Multi-platform App UI, a framework for building native device applications spanning mobile, tablet, and desktop.
Language: C#
Stars: 19,903(65 stars today) Forks:1,375
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Rank #23 521xueweihan/HelloGitHub
https://github.com/521xueweihan/HelloGitHub
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
Language: Python
Stars: 75,866(84 stars today) Forks:9,328
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Rank #24 chaitin/SafeLine
https://github.com/chaitin/SafeLine
一款足够简单、足够好用、足够强的免费 WAF。基于业界领先的语义引擎检测技术，作为反向代理接入，保护你的网站不受黑客攻击。
Language: C++
Stars: 4,517(24 stars today) Forks:295
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Rank #25 VASTDynamics/Vaporizer2
https://github.com/VASTDynamics/Vaporizer2
Vaporizer2 hybrid wavetable additive / subtractive VST / AU / AAX synthesizer / sampler workstation plugin
Language: C++
Stars: 116(27 stars today) Forks:7
The Vaporizer2 project is a versatile wavetable synthesizer that can be used as a VST, AU, or AAX plugin, as well as a standalone workstation. It features a high-performance wavetable sound engine with low CPU resource usage. The plugin includes a groundbreaking wavetable editor with a wide range of editing options, such as frequency shift, smooth, clean, bend, and bloat for single-cycles or entire wavetables. It also has an easy-to-use wavetable draw mode with smooth bezier curves and a snap to grid function.The Vaporizer2 project was developed by VAST Dynamics GbR and is now available as free software under the GPL3 license. It is based on the JUCE framework and uses muFFT under the GPL2 license. The project requires a developer license from Steinberg for the VST2 SDK, ASIO SDK 2.3, and AAX SDK from Avid Technology for building VST, ASIO, and AAX plugins, respectively. Code signing is required to build the AAX or AU versions on macOS.The Vaporizer2 project can be applied in various fields, including music production and sound design. It offers a wide range of editing possibilities for creating unique wavetable-based sounds. As a plugin, it can be used in digital audio workstations (DAWs) to enhance the capabilities of music production software. The standalone version provides a comprehensive workstation for designing and manipulating wavetables.Commercial applications of the Vaporizer2 project include selling the plugin as a commercial VST, AU, or AAX plugin for music production software. It can also be used by companies or individuals in the audio and music software industry to enhance their products with advanced wavetable synthesis capabilities. The versatile nature of the project makes it suitable for a variety of commercial applications in the field of audio technology and music production.
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