gpu

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A cross-platform, OpenGL terminal emulator.

The fastai deep learning library

Productive & portable high-performance programming in Python.

Build and run Docker containers leveraging NVIDIA GPUs

GPU Accelerated JavaScript

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

macOS system monitor in your menu bar

Play with fluids in your browser (works even on mobile)

Open deep learning compiler stack for cpu, gpu and specialized accelerators

No Nonsense Neovim Client in Rust

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Open3D: A Modern Library for 3D Data Processing

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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.

John the Ripper jumbo - advanced offline password cracker, which supports hundreds of hash and cipher types, and runs on many operating systems, CPUs, GPUs, and even some FPGAs

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

NumPy & SciPy for GPU

An open-source, low-code machine learning library in Python

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.