Tensors and Dynamic neural networks in Python with strong GPU acceleration

The fastai deep learning library

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

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 learn...

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

A cross-platform, OpenGL terminal emulator.

Open3D: A Modern Library for 3D Data Processing

Productive, portable, and performant GPU programming in Python.

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

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

Build and run Docker containers leveraging NVIDIA GPUs

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.

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

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

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

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

Deep Learning GPU Training System

A flexible framework of neural networks for deep learning

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, GraphRAG, DeepSpeed, Axolotl, etc

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.