Top Github Projects Skyrocketing in Popularity on 06/16/2023: Today’s Hottest Rankings!

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

Rank #1 AntonOsika/gpt-engineer
https://github.com/AntonOsika/gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
Language: Python
Stars: 9,607(2,651 stars today) Forks:1,643
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Rank #2 AI4Finance-Foundation/FinGPT
https://github.com/AI4Finance-Foundation/FinGPT
Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We’ll soon release the trained model.
Language: Jupyter Notebook
Stars: 2,926(548 stars today) Forks:534
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Rank #3 alibaba/Chat2DB
https://github.com/alibaba/Chat2DB
🔥 🔥 🔥 An intelligent and versatile general-purpose SQL client and reporting tool for databases which integrates ChatGPT capabilities.(智能的通用数据库SQL客户端和报表工具)
Language: Java
Stars: 3,918(1,065 stars today) Forks:699
Chat2DB is an extraordinary SQL client and reporting tool that integrates the capabilities of ChatGPT to convert natural language into SQL and vice versa. It is an open-source and free-to-use multi-database client tool developed by Alibaba. It can be installed on Windows and Mac as well as deployed on servers and accessed through web pages. Chat2DB exceeds traditional database client software such as Navicat and DBeaver by providing an AI intelligent assistant that gives developers SQL optimization suggestions. Furthermore, this tool supports team collaboration, making it easier for developers to access databases securely, and non-SQL business operators can utilize it to query business data and generate reports. Chat2DB, powered by artificial intelligence, is the perfect tool for database developers in the AI era.
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Rank #4 openai/openai-cookbook
https://github.com/openai/openai-cookbook
Examples and guides for using the OpenAI API
Language: Jupyter Notebook
Stars: 40,053(558 stars today) Forks:6,175
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Rank #5 stefan-jansen/machine-learning-for-trading
https://github.com/stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Language: Jupyter Notebook
Stars: 9,037(245 stars today) Forks:3,184
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Rank #6 facebookresearch/ijepa
https://github.com/facebookresearch/ijepa
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, “Self-supervised learning from images with a joint-embedding predictive architecture.”
Language: Python
Stars: 1,339(375 stars today) Forks:217
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Rank #7 Victorwz/LongMem
https://github.com/Victorwz/LongMem

Language: Python
Stars: 323(103 stars today) Forks:49
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Rank #8 hwchase17/langchain
https://github.com/hwchase17/langchain
⚡ Building applications with LLMs through composability ⚡
Language: Python
Stars: 48,217(363 stars today) Forks:5,799
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Rank #9 sunner/ChatALL
https://github.com/sunner/ChatALL
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
Language: JavaScript
Stars: 6,685(194 stars today) Forks:788
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Rank #10 hiyouga/LLaMA-Efficient-Tuning
https://github.com/hiyouga/LLaMA-Efficient-Tuning
Fine-tuning LLaMA with PEFT (PT+SFT+RLHF with QLoRA)
Language: Python
Stars: 423(104 stars today) Forks:41
The LLaMA Efficient Tuning project is a repository that provides efficient training approaches for various large language models like LLaMA (7B/13B/33B/65B), BLOOM/BLOOMZ (560M/1.1B/1.7B/3B/7.1B/176B), and baichuan (7B). The project supports continually pre-training, full-parameter tuning, partial-parameter tuning, and various approaches like LoRA, QLoRA, and RLHF for efficient training. It also offers provided datasets for pre-training and supervised fine-tuning. This project can be applied in the field of natural language processing (NLP) and machine learning (ML). The commercial applications of this project include language translation, sentiment analysis, chatbots, and speech recognition systems.
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Rank #11 YimMenu/YimMenu
https://github.com/YimMenu/YimMenu
YimMenu, a GTA V menu oriented at protecting from crashes (not all currently) and improving the overall experience.
Language: C++
Stars: 559(17 stars today) Forks:252
YimMenu is a mod menu base for Grand Theft Auto V that is strictly for educational purposes. It is designed to protect users from toxic modders and is based on the now-dated BigBaseV2. YimMenu can be used to build custom mod menus for GTA V and can be forked to create a personalized version. It is a useful tool for anyone interested in learning about modding and game development. Commercial applications for YimMenu include using it as a platform for creating custom mod menus for GTA V and other games.
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Rank #12 krzysztofzablocki/Swift-Macros
https://github.com/krzysztofzablocki/Swift-Macros
A curated list of awesome Swift Macros
Language:
Stars: Sponsor(79 stars today) Forks:21
Swift Macros is a project that aims to curate a list of community-created Macros and associated learning resources. Swift Macros have brought in a new wave of possibilities, and many use-cases that were covered before by Sourcery can now be implemented by Swift Macros. Swift Macros can be applied in the fields of software development, programming, and code generation. It has many commercial applications in developing software, automating repetitive tasks, and reducing errors in code generation.
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Rank #13 ordinals/ord
https://github.com/ordinals/ord
👁‍🗨 Rare and exotic sats
Language: Rust
Stars: 2,058(55 stars today) Forks:661
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Rank #14 tatsu-lab/alpaca_eval
https://github.com/tatsu-lab/alpaca_eval
A validated automatic evaluator for instruction-following language models. High-quality, cheap, and fast.
Language: Jupyter Notebook
Stars: 165(45 stars today) Forks:22
AlpacaEval is an automatic evaluator for instruction-following language models such as ChatGPT. It saves time and expenses by being fast, cheap, and replicable while providing high agreement with human evaluation, validated against 20,000 human annotations. This project is useful for model development, enabling the evaluation of a model by measuring the fraction of times a powerful language model (LLM) prefers the outputs from that model over outputs from a reference model. AlpacaEval provides several features, including an automatic evaluator, a leaderboard of common models, a toolkit for building automatic evaluators, and human evaluation data. It can be applied in various fields that require language processing, including natural language processing, dialogue systems, and general AI applications. Its commercial applications can include improving the performance of chatbots or virtual assistants, enhancing text-generation models used in content creation, and supporting speech recognition systems.
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Rank #15 imClumsyPanda/langchain-ChatGLM
https://github.com/imClumsyPanda/langchain-ChatGLM
langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识库的 ChatGLM 问答
Language: Python
Stars: 9,333(95 stars today) Forks:1,312
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Rank #16 gopherchina/conference
https://github.com/gopherchina/conference

Language:
Stars: Star(23 stars today) Forks:1,572
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Rank #17 lm-sys/FastChat
https://github.com/lm-sys/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5.
Language: Python
Stars: 23,273(157 stars today) Forks:2,655
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Rank #18 microsoft/DeepSpeed
https://github.com/microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Language: Python
Stars: 25,926(52 stars today) Forks:3,099
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Rank #19 nrwl/nx
https://github.com/nrwl/nx
Smart, Fast and Extensible Build System
Language: TypeScript
Stars: 17,865(14 stars today) Forks:1,801
Nx is a next generation build system that offers first class monorepo support and powerful integrations. It is smart, fast, and extensible, making it suitable for a wide range of applications. Nx can be used in fields such as web development, mobile development, and cloud infrastructure development. It has commercial applications in industries such as technology, finance, and healthcare, where efficient and scalable build systems are essential for development and deployment.
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Rank #20 ataradov/usb-sniffer
https://github.com/ataradov/usb-sniffer
Low-cost LS/FS/HS USB sniffer with Wireshark interface
Language: C
Stars: 244(73 stars today) Forks:15
This project is a low-cost USB sniffer that can be used standalone or as a plugin for Wireshark. It captures USB traffic and saves it in a standard PcapNG format. The sniffer is based around Cypress CY7C68013A MCU, Lattice LCMXO2 FPGA, and Microchip USB3343 USB PHY and can be built for less than $50. This project has applications in fields such as cybersecurity, networking, and USB device development, and can be used for commercial purposes such as USB driver development, USB device testing, and USB traffic analysis.
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Rank #21 open-mmlab/mmagic
https://github.com/open-mmlab/mmagic
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Language: Python
Stars: 4,948(14 stars today) Forks:844
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Rank #22 imartinez/privateGPT
https://github.com/imartinez/privateGPT
Interact privately with your documents using the power of GPT, 100% privately, no data leaks
Language: Python
Stars: 30,503(236 stars today) Forks:3,550
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Rank #23 rvaidun/befake
https://github.com/rvaidun/befake
view bereals without posting your own :)
Language: HTML
Stars: 176(5 stars today) Forks:80
BeFake is a social media client that allows users to view and interact with their friends’ posts on the BeReal social media platform without posting anything themselves. With features such as the ability to see location data, date and time, comments, and realmoji reactions, BeFake has commercial applications in the field of social media marketing and analytics. Additionally, the project’s public codebase can be used for educational purposes and to demonstrate security vulnerabilities in the BeReal API.
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Rank #24 Uniswap/v4-core
https://github.com/Uniswap/v4-core
🦄 🦄 🦄 🦄 Core smart contracts of Uniswap v4
Language: Solidity
Stars: 819(179 stars today) Forks:246
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Rank #25 ziglang/zig
https://github.com/ziglang/zig
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Language: Zig
Stars: 22,996(61 stars today) Forks:1,687
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