http://torch.ch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

A small package to create visualizations of PyTorch execution graphs

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

A WebGL accelerated JavaScript library for training and deploying ML models.

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

Visualizer for neural network, deep learning and machine learning models

blablado is an extensible Assistant that listens to your voice and can execute custom Python functions you provided. It can speak as well.

Example application code for the python architecture book

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

Deep Learning for humans

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Grok open release

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.

BrightEyes Time-tagging module: open-source hardware, a time to digital converter, multi channels, with a resolution of 30 ps designed for fluorescence scanning laser microscopy.

Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"

A FlashAttention implementation for JAX with support for efficient document mask computation and context parallelism.