1.BlueHeisenberg / SCSKiller
Kill shader compilation stutter before you play. Compiles your games' shaders into the GPU driver's cache ahead of time. Windows, NVIDIA and AMD.
Ranked by Attention Score: stars gained over the last 7 complete days
22 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
Kill shader compilation stutter before you play. Compiles your games' shaders into the GPU driver's cache ahead of time. Windows, NVIDIA and AMD.
Metal driver for NVIDIA GeForce cards on macOS Sequoia
Path-traced Minecraft Java 1.21.1 through NVIDIA RTX Remix: a Fabric mod (beta)
Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3× lower latency than vLLM in FP8 and bit-identical answers.
Lightweight Armoury Crate alternative for Asus laptops with nearly the same functionality. Works with ROG Zephyrus, Flow, TUF, Strix, Scar, ProArt, Vivobook, Zenbook, Expertbook, ROG Ally, and more.
GameStream client for PCs (Windows, Mac, Linux, and Steam Link)
DLSS 5 Neural Rendering for Images & Video with Frame Generation, RTX Video Super Resolution, HDR, and Color Grading
THE FIRST DLSS 5 MANAGER
Berth is a lightweight GPU resource manager written in Go. It controls which applications get access to your GPU, when they get it, and how that access is handed off.
Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Optimized primitives for collective multi-GPU communication
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
NVIDIA cuML: GPU-Accelerated Machine Learning
cuGraph - RAPIDS Graph Analytics Library
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
Awesome Vulkan ecosystem
ILGPU JIT Compiler for high-performance .Net GPU programs
Awesome D3D12 ecosystem
Push-to-talk voice dictation for Linux. 100% local, multilingual (25+ languages), with speaker diarization. Qt frontend, Rust backend on NVIDIA Parakeet via ONNX Runtime. KDE Plasmoid integrated.