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An opinionated list of awesome Python frameworks, libraries, software and resources.
Master the command line, in one page
Stable Diffusion web UI
🦜🔗 Build context-aware reasoning applications
An enterprise-class UI design language and React UI library
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
A feature-rich command-line audio/video downloader
Models and examples built with TensorFlow
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
A curated list of awesome Machine Learning frameworks, libraries and software.
Fast and extensible multi-platform HTTP/1-2-3 web server with automatic HTTPS
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
Interact with your documents using the power of GPT, 100% privately, no data leaks
The world's simplest facial recognition api for Python and the command line
A natural language interface for computers
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
ShellCheck, a static analysis tool for shell scripts
LlamaIndex is a data framework for your LLM applications
🔊 Text-Prompted Generative Audio Model
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A boilerplate for Node.js web applications
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
A library for efficient similarity search and clustering of dense vectors.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
PyTorch Tutorial for Deep Learning Researchers