The high-speed OpenGL, OpenCL, OpenAL, OpenXR, GLFW, SDL, Vulkan, Assimp, WebGPU, and DirectX bindings library your mother warned you about.
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Optimized primitives for collective multi-GPU communication
- communications
- cpp
- cuda
- deep-learning
Here is a dlssg for RTX30 Series GPU
Run Keras models in the browser, with GPU support using WebGL
GPUImage 2 is a BSD-licensed Swift framework for GPU-accelerated video and image processing.
ArrayFire: a general purpose GPU library.
GPU tensor unlock source for RTX 4090 and experimental RTX 4070 Ti SUPER; firmware generated locally
LaiFeng IOS Live Kit,H264 and AAC Hard coding,support GPUImage Beauty, rtmp transmission,weak network lost frame,Dynamic switching rate
eBPF Observability - Distributed Tracing and Profiling
Kill shader compilation stutter before you play. Compiles your games' shaders into the GPU driver's cache ahead of time. Windows, NVIDIA and AMD.
- amd
- directx12
- nvidia
- pc-gaming
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
- onednn
- oneapi
- performance
- cpp
A treemap for finding and removing what fills your disk, for Omarchy. Rust + GPUI.
A highly efficient implementation of Gaussian Processes in PyTorch
- pytorch
- gaussian-processes
- gpu-acceleration
Bloodborne (v1.09) running natively on Linux and Windows: the game's x86-64 code runs as is, GPU side translated to Vulkan; FSR 4 / DLSS, co-op (BBSC). Bring your own dump.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
- webgpu
- deep-learning
- stable-diffusion
- web-assembly
📷 A composable image editor using Core Image and Metal.
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Easy to integrate Vulkan memory allocation library
LYGIA, it's a granular and multi-language (GLSL, HLSL, Metal, WGSL, WEGL and CUDA) shader library designed for performance and flexibility
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
- pytorch
- protein-structure
- alphafold2
Run DLSS 5 Neural Rendering on your AMD GPU. Magic!
The Swiss Army Knife of Offline AI. Chat, see, speak, and generate images on your phone or Mac — GGUF LLMs, vision, Whisper speech-to-text, Stable Diffusion, tool calling, and local-network servers. Runs on your CPU, GPU, or NPU. No account, no API key, zero data leaves your device.
- privacy-first
- gguf
- llama-cpp
- local-ai
Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer