User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Model Context Protocol Servers

List of Computer Science courses with video lectures.

VS Code in the browser

Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.

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.

📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

🤗 smolagents: a barebones library for agents that think in code.

Image-to-Image Translation in PyTorch

Latex code for making neural networks diagrams

A collection of various deep learning architectures, models, and tips

CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…

Implementation of Nougat Neural Optical Understanding for Academic Documents

Matplotlib styles for scientific plotting

Ready-to-run Docker images containing Jupyter applications

Pytorch implementation of convolutional neural network visualization techniques

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

Documentation on how to access and use the Quick, Draw! Dataset.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

a featureful union filesystem

Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas

cuML - RAPIDS Machine Learning Library

A collection of infrastructure and tools for research in neural network interpretability.

Serve, optimize and scale PyTorch models in production

LPIPS metric. pip install lpips

A Python toolbox for performing gradient-free optimization

Differentiable architecture search for convolutional and recurrent networks