Build and run Docker containers leveraging NVIDIA GPUs

This is the official location of the Kaldi project.

World's fastest and most advanced password recovery utility

NumPy aware dynamic Python compiler using LLVM

A flexible framework of neural networks for deep learning

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

NumPy-like API accelerated with CUDA

Modern C++ Parallel Task Programming

ArrayFire: a general purpose GPU library.

cuDF - GPU DataFrame Library

A GPU-powered real-time analytics storage and query engine.

HIP: C++ Heterogeneous-Compute Interface for Portability

cuML - RAPIDS Machine Learning Library

Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer

💥💻💥 A data-parallel functional programming language

Deep learning with cats (^._.^)

A community run, 5-day PyTorch Deep Learning Bootcamp

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Real-time dense visual SLAM system

GPU Accelerated t-SNE for CUDA with Python bindings

CUDA integration for Python, plus shiny features

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

Fast Clojure Matrix Library

CUDA Templates for Linear Algebra Subroutines

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

Python interface to GPU-powered libraries