Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

High performance AI inference stack. Built for production. @ziglang / @openxla / MLIR / @bazelbuild

A machine learning compiler for GPUs, CPUs, and ML accelerators

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

Intel® Extension for MLIR. A staging ground for MLIR dialects and tools for Intel devices using the MLIR toolchain.

Conversions to MLIR EmitC

This is the implementation of Noise2Void training.

Instant voice cloning by MIT and MyShell.

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

A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning…

Web site of the Computational Optimal Transport book

Google Research

MLX: An array framework for Apple silicon

All Algorithms implemented in Python

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

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

🔥Highlighting the top ML papers every week.

Official Code for DragGAN (SIGGRAPH 2023)

PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.

Making large AI models cheaper, faster and more accessible

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Development repository for the Triton language and compiler

oneAPI Math Kernel Library (oneMKL) Interfaces

Graph Neural Networks with Keras and Tensorflow 2.

nanobind: tiny and efficient C++/Python bindings

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

TensorFlow Neural Machine Translation Tutorial

A differentiable, 3D mesh renderer using TensorFlow.