All Algorithms implemented in Python

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Models and examples built with TensorFlow

scikit-learn: machine learning in Python

The world's simplest facial recognition api for Python and the command line

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.

What the f*ck Python? 😱

A toolkit for developing and comparing reinforcement learning algorithms.

The fundamental package for scientific computing with Python.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Open standard for machine learning interoperability

A Deep Learning based project for colorizing and restoring old images (and video!)

Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚

Datasets, Transforms and Models specific to Computer Vision

Code samples for my book "Neural Networks and Deep Learning"

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

Image augmentation for machine learning experiments.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

A MNIST-like fashion product database. Benchmark 👇

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

NumPy & SciPy for GPU

Perform data science on data that remains in someone else's server

A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

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

It's React, but in Python

Keras code and weights files for popular deep learning models.