Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

All Algorithms implemented in Python

Models and examples built with TensorFlow

Animation engine for explanatory math videos

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

⚡ A Fast, Extensible Progress Bar for Python and CLI

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

You like pytorch? You like micrograd? You love tinygrad! ❤️

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

We write your reusable computer vision tools. 💜

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …

DSPy: The framework for programming—not prompting—language models

Official inference repo for FLUX.1 models

Open standard for machine learning interoperability

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

End-to-End Object Detection with Transformers

Memray is a memory profiler for Python

🐍 Geometric Computer Vision Library for Spatial AI

OSX (macOS) inside a Docker container.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

A collection of libraries to optimise AI model performances

Containers for machine learning

A faster pytorch implementation of faster r-cnn

Object detection, 3D detection, and pose estimation using center point detection:

A Collection of Variational Autoencoders (VAE) in PyTorch.