Top Trending Github Projects on 04/12/2023 — Discover the Hottest Repositories of the Day!
Projects that have already appeared in previous Github ranking lists will not display details, please refer to previous lists for information.
Rank #1 shadcn/taxonomy
https://github.com/shadcn/taxonomy
An open source application built using the new router, server components and everything new in Next.js 13.
Language: TypeScript
Stars: 6,852(917 stars today) Forks:595
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Rank #2 reworkd/AgentGPT
https://github.com/reworkd/AgentGPT
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
Language: TypeScript
Stars: 3,099(299 stars today) Forks:651
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Rank #3 ohmplatform/FreedomGPT
https://github.com/ohmplatform/FreedomGPT
This codebase is for an React and Electron-based app that executes the FreedomGPT LLM locally (offline and private) on Mac and Windows using a chat-based interface (based on Alpaca Lora)
Language: TypeScript
Stars: 355(80 stars today) Forks:43
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Rank #4 IDEA-Research/Grounded-Segment-Anything
https://github.com/IDEA-Research/Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper — Automatically Detect , Segment and Generate Anything with Image, Text, and Speech Inputs
Language: Jupyter Notebook
Stars: 5,400(1,590 stars today) Forks:378
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Rank #5 anuragxel/salt
https://github.com/anuragxel/salt
Segment Anything Labelling Tool
Language: Python
Stars: 197(62 stars today) Forks:17
The Segment Anything Labelling Tool (SALT) is a project that utilizes the Segment-Anything model by Meta AI and adds a simple interface to label images and save the masks in the COCO format. SALT is still under active development, and users are advised to use it at their own risk. The installation of SALT requires the installation of Segment Anything on any machine with a GPU and the creation of a conda environment on the labeling machine. The project can be used to annotate images for various fields, including computer vision, machine learning, and artificial intelligence. SALT can be used in commercial applications that require image annotation, such as object detection, segmentation, and classification. The project is licensed under the MIT License, and contributions are welcome.
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Rank #6 BuilderIO/ai-shell
https://github.com/BuilderIO/ai-shell
A CLI that converts natural language to shell commands.
Language: TypeScript
Stars: 1,399(450 stars today) Forks:63
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Rank #7 IDEA-Research/GroundingDINO
https://github.com/IDEA-Research/GroundingDINO
The official implementation of “Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection”
Language: Python
Stars: 818(152 stars today) Forks:62
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Rank #8 soulteary/docker-prompt-generator
https://github.com/soulteary/docker-prompt-generator
Using a Model to generate prompts for Model applications. / 使用模型来生成作图咒语的偷懒工具，支持 MidJourney、Stable Diffusion 等。
Language: Python
Stars: 505(77 stars today) Forks:48
The Docker Prompt Generator is a project that uses a model to generate prompts for model applications like MidJourney and Stable Diffusion. It includes an interface that supports parsing prompts from images and secondary extensions based on prompts. The project also supports writing prompts directly in Chinese and then getting prompt text that can be used for better effect generation. The project is based on Docker and Nvidia’s official base container for deep learning environments, making it suitable for use in computer vision, machine learning, and artificial intelligence fields. The Docker Prompt Generator can be used in commercial applications that require prompt generation for model applications, such as image and speech recognition. The project provides a step-by-step guide on how to set up the environment and run the model application with a Web UI interface. The project is open source and welcomes contributions from the community.
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Rank #9 sail-sg/EditAnything
https://github.com/sail-sg/EditAnything
Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc.
Language: Python
Stars: 969(212 stars today) Forks:25
The Edit Anything by Segment-Anything project is an ongoing project that aims to edit and generate anything in an image using various models, including Segment Anything, ControlNet, BLIP2, and Stable Diffusion. The project is intended for fun and welcomes contributions and suggestions. The project’s highlight features include a pretrained ControlNet with SAM mask as a condition that enables image generation with fine-grained control, category-unrelated SAM mask that enables more forms of editing and generation, and BLIP2 text generation that enables text guidance-free control. The project can be applied in fields such as computer vision, machine learning, and artificial intelligence. It can be used in commercial applications that require image editing and generation, such as image and video editing software. The project provides a step-by-step guide on how to set up the environment and install the required models. The project is open source and ongoing, with plans to add more controls on masks and interactive control on different masks for image editing.
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Rank #10 aress31/burpgpt
https://github.com/aress31/burpgpt
A Burp Suite extension that integrates OpenAI’s GPT to perform an additional passive scan for discovering highly bespoke vulnerabilities, and enables running traffic-based analysis of any type.
Language: Java
Stars: 770(175 stars today) Forks:56
The burpgpt project is a passive scanner extension for the Burp Suite that leverages the power of AI to detect security vulnerabilities that traditional scanners might miss. It sends web traffic to an OpenAI model specified by the user, enabling sophisticated analysis within the passive scanner. The extension offers customizable prompts that enable tailored web traffic analysis to meet the specific needs of each user. The project can be applied in the field of cybersecurity and can be used in commercial applications that require security vulnerability detection, such as web application security testing software. The extension generates an automated security report that summarizes potential security issues based on the user’s prompt and real-time data from Burp-issued requests. The project provides troubleshooting functionality via the native Burp Extender API, enabling users to debug any issues they encounter. The effectiveness of this extension is heavily reliant on the quality and precision of the prompts created by the user for the selected GPT model. The project is open source and welcomes contributions from the community.
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Rank #11 ravenscroftj/turbopilot
https://github.com/ravenscroftj/turbopilot
Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU
Language: Python
Stars: 1,364(957 stars today) Forks:35
TurboPilot is a self-hosted copilot clone that uses the library behind llama.cpp to run the 6 Billion Parameter Salesforce Codegen model in 4GiB of RAM. It is a proof of concept rather than a stable tool, and autocompletion is quite slow in this version of the project. The project can be applied in the field of software development and can be used in commercial applications that require code generation and autocompletion, such as integrated development environments (IDEs) and code editors. The project provides a step-by-step guide on how to get started, including how to download the pre-processed models and run the server in Docker. The project is open source and welcomes contributions from the community. PRs to this project and the corresponding GGML fork are very welcome.
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Rank #12 discordjs/discord.js
https://github.com/discordjs/discord.js
A powerful JavaScript library for interacting with the Discord API
Language: TypeScript
Stars: 22,385(57 stars today) Forks:3,787
The Discord.js project is a collection of Node.js packages that allow developers to easily interact with the Discord API. The project includes multiple packages with separate releases, including a powerful Node.js module for interacting with the Discord API, a collection of brokers for use with Discord.js, a utility package for easily building Discord API payloads, a powerful utility data structure, a thinly abstracted wrapper around the core components of the Discord API, a collection of functions for formatting strings, a wrapper around @discordjs/rest for running an HTTP proxy, a module for interacting with the Discord REST API, a module for interacting with the Discord Voice API, and a collection of utility functions. The project can be applied in the field of application development and can be used in commercial applications that require Discord API integration, such as chatbots and gaming applications. The project provides extensive documentation and a guide to get started, and the Discord.js Discord server is available for help and support. The project is open source and welcomes contributions from the community.
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Rank #13 biobootloader/wolverine
https://github.com/biobootloader/wolverine
Language: Python
Stars: 1,489(162 stars today) Forks:123
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Rank #14 langchain-ai/langchain-template-supabase
https://github.com/langchain-ai/langchain-template-supabase
Language: TypeScript
Stars: 174(43 stars today) Forks:12
The supabase-template project is a template for building full-stack applications with Supabase, a cloud-based open-source alternative to Firebase. The project includes a frontend and Supabase functions that can be used as a starting point for building a variety of applications. The project can be applied in the field of application development and can be used in commercial applications that require a serverless backend, such as mobile and web applications. The project provides a step-by-step guide on how to get started, including how to clone the repo, install dependencies, create environment files, and deploy the application. The Supabase CLI is used to start the Supabase project and functions locally and to deploy them to the Supabase cloud. The project is open source and welcomes contributions from the community.
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Rank #15 vinta/awesome-python
https://github.com/vinta/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
Language: Python
Stars: 163,587(475 stars today) Forks:22,911
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Rank #16 microsoft/DeepSpeedExamples
https://github.com/microsoft/DeepSpeedExamples
Example models using DeepSpeed
Language: Python
Stars: 845(274 stars today) Forks:219
The DeepSpeed Examples project is a collection of examples that demonstrate how to use DeepSpeed, a deep learning optimization library developed by Microsoft. The project includes various examples, including training, inference, compression, benchmarks, and applications that use DeepSpeed. The applications folder contains end-to-end applications that use DeepSpeed to train and use cutting-edge models. The training folder includes several training and finetuning examples, and the inference folder explains how to get started with running DeepSpeed Huggingface inference examples. The project can be applied in the field of deep learning and can be used in commercial applications that require deep learning optimization, such as natural language processing and computer vision. The project welcomes contributions and suggestions, and a Contributor License Agreement is required to contribute to the project. The project has adopted the Microsoft Open Source Code of Conduct.
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Rank #17 hemansnation/God-Level-Data-Science-ML-Full-Stack
https://github.com/hemansnation/God-Level-Data-Science-ML-Full-Stack
This roadmap contains 16 Chapters that can be completed in 8 months, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science.
Language: Jupyter Notebook
Stars: 1,369(61 stars today) Forks:341
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Rank #18 Torantulino/Auto-GPT
https://github.com/Torantulino/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
Language: Python
Stars: 30,525(3,345 stars today) Forks:3,896
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Rank #19 kevmo314/magic-copy
https://github.com/kevmo314/magic-copy
Magic Copy is a Chrome extension that uses Meta’s Segment Anything Model to extract a foreground object from an image and copy it to the clipboard.
Language: TypeScript
Stars: 447(62 stars today) Forks:30
The Magic Copy project is a Chrome extension that uses Meta’s Segment Anything Model to extract a foreground object from an image and copy it to the clipboard. The extension can be installed from the Chrome Web Store or manually by downloading the latest `magic-copy.zip`. The project can be applied in the field of computer vision and can be used in commercial applications that require image processing, such as graphic design and photo editing. The extension uses the same procedure as the Segment Anything Model demo to extract a foreground object from an image, and the extracted object is copied to the clipboard instead of being displayed on the page. The project provides a step-by-step guide on how to build the extension manually or using Docker. The project also includes an example of how to self-host the vision transformer service for those who do not want to send their images to a third party.
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Rank #20 josStorer/chatGPTBox
https://github.com/josStorer/chatGPTBox
Integrating ChatGPT into your browser deeply, everything you need is here
Language: JavaScript
Stars: 6,160(122 stars today) Forks:374
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Rank #21 oobabooga/text-generation-webui
https://github.com/oobabooga/text-generation-webui
A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.
Language: Python
Stars: 7,553(653 stars today) Forks:725
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Rank #22 underlines/awesome-marketing-datascience
https://github.com/underlines/awesome-marketing-datascience
Collection of useful Datascience things across the web
Language:
Stars: Star(49 stars today) Forks:26
The awesome-marketing-datascience project is a collection of useful analytics and data science resources across the web, with a strong focus on digital marketing and product/web analytics. The project includes a curated list of machine learning models and resources with a focus on open-source generative AI, such as LLMs and image generation, a guide to running Meta’s LLaMA Large Language Model and its derivatives on your own hardware, and a curated list of solutions, SaaS apps, and libraries for marketing data science. The project can be applied in the field of digital marketing and can be used in commercial applications that require analytics and data science, such as advertising and e-commerce. The project provides a comprehensive list of resources and solutions for those looking to improve their marketing data science skills and stay up-to-date with the latest trends and technologies. The project is open source and welcomes contributions from the community.
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Rank #23 base-org/node
https://github.com/base-org/node
Everything required to run your own Base node
Language: Shell
Stars: 30,473(1,133 stars today) Forks:695
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Rank #24 Sanster/lama-cleaner
https://github.com/Sanster/lama-cleaner
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
Language: Python
Stars: 9,386(90 stars today) Forks:861
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Rank #25 bfeber/HLA-NoVR
https://github.com/bfeber/HLA-NoVR
NO VR Script for Half-Life: Alyx
Language: Lua
Stars: 257(20 stars today) Forks:18
The HLA-NoVR project is a script for Half-Life: Alyx that allows players to play the game without a virtual reality headset. The project includes a game folder that can be copied into the main Half-Life: Alyx installation folder and launch options to start the game without VR. The project can be applied in the field of gaming and can be used in commercial applications that require a non-VR version of Half-Life: Alyx, such as for accessibility purposes or for those who do not have access to a VR headset. The project provides keyboard and mouse controls for movement, interaction, and other actions, and includes a list of controls for quick reference. The project also includes an official Discord server for support and community interaction. The project is open source and welcomes contributions from the community.
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