#Gpu
Showing 60 of 396 repositories tagged #gpu, ranked by stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A cross-platform, OpenGL terminal emulator.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The fastai deep learning library
Build and run Docker containers leveraging NVIDIA GPUs
A cross-platform, safe, pure-Rust graphics API.
No Nonsense Neovim Client in Rust
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...
Open3D: A Modern Library for 3D Data Processing
Open Machine Learning Compiler Framework
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
NumPy & SciPy for GPU
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
CUDA Templates and Python DSLs for High-Performance Linear Algebra
cuDF - GPU DataFrame Library
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.
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
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.
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
Run GUI applications and desktops in docker and podman containers. Focus on security.
A flexible framework of neural networks for deep learning
FlashInfer: Kernel Library for LLM Serving
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
High-performance TensorFlow library for quantitative finance.
[maintenance mode] A low-overhead Vulkan-like GPU API for Rust.
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
cuML - RAPIDS Machine Learning Library
Linux GPU Configuration And Monitoring Tool
Time series forecasting with PyTorch
Optimized primitives for collective multi-GPU communication
ML-powered manga translator, written in Rust.
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
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
On-device AI across mobile, embedded and edge for PyTorch
Perf monitoring CLI tool for Apple Silicon
Lightning fast C++/CUDA neural network framework
📊 A simple command-line utility for querying and monitoring GPU status
Serve, optimize and scale PyTorch models in production
Deep Learning GPU Training System
eBPF Observability - Distributed Tracing and Profiling
TVM Documentation in Chinese Simplified / TVM 中文文档
Achieve state of the art inference performance with modern accelerators on Kubernetes
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Fast and flexible AutoML with learning guarantees.
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
Open source neural network chess engine with GPU acceleration and broad hardware support.
Beautiful, open source, WebGPU-based charting library
High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
A GPU-rendered terminal emulator with inline 3D graphics 🐀🧀
HeavyDB (formerly MapD/OmniSciDB)
cuda-oxide is an experimental Rust-to-CUDA compiler that lets you write (SIMT) GPU kernels in safe(ish), idiomatic Rust. It compiles standard Rust code directly to PTX — no DSLs, no foreign language bindings, just Rust.
A Pythonic framework to simplify AI service building
Interactive data visualizations and plotting in Julia