gpu

A C++ GPU Computing Library for OpenCL

:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

🔥 Real-time NVIDIA GPU dashboard

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Open Source Continuous Inference Benchmark Research Platform — Kimi K3 2.8T, MiniMax M3, DeepSeekv4, GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 & soon™ TPUv6e/v7/Trainium2/3 | 开源持续推理基准研究平台 — Kimi K2.7-Code、MiniMax M3、DeepSeekv4、GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72，即将推出™ TPUv6e/v7/Trainium2/3

PlayStation 5 emulator for Windows, Linux and MacOS

High-level Deep Learning Framework written in Kotlin and inspired by Keras

A lightweight 2D graphics library for modern GPUs, delivering high-performance text, image, and vector rendering across major platforms.

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.

Next-gen fast plotting library running on WGPU using the pygfx rendering engine

UCCL is an efficient communication library for GPUs, covering collectives, P2P (e.g., KV cache transfer, RL weight transfer), and EP (e.g., GPU-driven)

A GPU-accelerated computing library for running physics simulations and other GPGPU computations in a web browser.

Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM

An efficient C++20 GPU numerical computing library with Python-like syntax

Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver

CUDA programming in Julia.

🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

Pre-built Mesa3D drivers for Windows

Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization

OpenSource GPU, in Verilog, loosely based on RISC-V ISA

A fast communication-overlapping library for tensor/expert parallelism on GPUs.

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

A vector field explorer

🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.

stdgpu: Efficient STL-like Data Structures on the GPU

GraphVite: A General and High-performance Graph Embedding System

Examples of programs built using Modal

KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)