gpu

Video stabilization using gyroscope data

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.

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

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, 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, DeepSpeed, Axolotl, etc.

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.

A flexible framework of neural networks for deep learning

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Linux GPU Configuration And Monitoring Tool

Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk

[maintenance mode] A low-overhead Vulkan-like GPU API for Rust.

ML-powered manga translator, written in Rust.

Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

NVIDIA cuML: GPU-Accelerated Machine Learning

Optimized primitives for collective multi-GPU communication

Time series forecasting with PyTorch

On-device AI across mobile, embedded and edge for PyTorch

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

Lightning fast C++/CUDA neural network framework

Serve, optimize and scale PyTorch models in production

eBPF Observability - Distributed Tracing and Profiling