A linker for partial GPU kernels.
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
A next-generation cloud native kernel designed to unlock best-in-class performance, security primitives and efficiency savings.
Embree ray tracing kernels repository.
Ahead of Time compiler for numeric kernels
Use sing-box, clash, v2ray, xray tunnel proxy on Android devices.
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
ILGPU JIT Compiler for high-performance .Net GPU programs
A Scala kernel for Jupyter
ops - build and run nanos unikernels
A Rust-based, lightweight unikernel.
A module to easily execute AdGuardHome on Android
Build SukiSU-Ultra/KernelSU/KernelSU-Next/BakaSU Kernels For All OnePlus QCOM & MTK Devices (GKI2.0), Supporting SUSFS, KPM, ZRAM and more feats.
Official main repository for LFortran
Safe rust wrapper around CUDA toolkit
FlagGems is an operator library for large language models implemented in the Triton Language.
Translate GPU shaders and compute kernels between GLSL, HLSL, Metal, SPIR-V and Slang, from CUDA and HIP, and to WGSL, through the CrossGL IR
An interface to communicate with Jupyter kernels.
A sandboxed execution environment for unikernels
Implementation of the Jupyter kernel protocol in C++
CUDA Kernel Benchmarking Library
Linux system call fuzzer
Quickly build and run kernels inside a virtualized snapshot of your live system
OnePlus Kernels with KernelSU & SUSFS
Hide active VPN from selected Android apps (kernel module + LSPosed + Zygisk)
NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process communication and coordination overheads by allowing programmers to perform one-sided communication from within CUDA kernels and on CUDA streams.
Turbo is a framework built for LuaJIT 2 to simplify the task of building fast and scalable network applications. It uses a event-driven, non-blocking, no thread design to deliver excellent performance and minimal footprint to high-load applications while also providing excellent support for embedded uses.
From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.
Auto-built YouTube & YT Music (RVX/Morphe + VoT) with in-app updates. NonRoot APKs (Obtainium) and Root modules (Magisk/KernelSU/APatch).
A vLLM patch + hand‑written SM120 SASS kernels: 2‑bit MoE experts + an FP4 "delta" cache that recovers precision — matching the official (NV)FP4 checkpoint's quality on consumer Blackwell cards
NoMount is a VFS (Virtual File System) path redirection framework for Android kernels.
Hand-written NVFP4 W4A16 CUDA kernels for Volta
A collection of megakernels for TPU
Orukeet: multilingual ASR with fitted, frozen Gabor kernels and native inference
KernelSU-compatible ZIP wrapper for pinned inforcqb SUSFS LKM; loader only, no rule management
Zygisk module that intercepts Flutter app traffic — redirects to a proxy and bypasses BoringSSL TLS pinning. Persistent, no Frida session. Installable via MMRL.
GPU 性能与 AI Infra 学习项目:CUDA/Triton 算子、NCU/NSYS、vLLM/SGLang/TRT-LLM/ms-swift、PyTorch/DeepSpeed/ms-swift 训练、并行架构
A tiny neural-network framework in pure Go with AVX2 SIMD kernels (GOEXPERIMENT=simd)
B200 Attention from Scratch: understand one of the hardest GPU kernels on the latest hardware
High-performance Lemonade alternative for AMD Strix Halo & Radeon — latest MoE models (Ling-3.0-Flash, Qwen 3.8 Flash Next, Ornith 1.5), bleeding-edge RDNA 3.5 Wave64/ROCmFP4 kernels, and silicon-tuned profiles.
Faster inference backend for Open-Jev-27B: fused CUDA kernels, prefix tree, CUDA Graphs (B300, bf16)
The set-and-forget LLM engine for Pascal and Volta: PXQ codec + kernels, auto-tuned per card. Ready-to-run PXQ models in MODELS.md; benchmarks vs llama.cpp in the README.
Sub-Store for Android (Magisk / KernelSU / APatch 模块)
Using CVE-2026-43499 to root your Galaxy S24 Series(SM-S92X0 ,(China / Hong Kong SAR / Taiwan))
Write and run custom C kernels for Intel Core Ultra NPUs
Turn your Android device 'unavailable' for incoming calls while keeping LTE/5G mobile data fully working. Supports Shizuku & Root.
Compile Metal Shading Language compute kernels to Vulkan SPIR-V (clang C++ for OpenCL + a metal_stdlib shim + clspv)
Pure-Rust GGUF inference engine with quantized CPU, Metal & CUDA kernels, MoE support, OpenAI-compatible server. Benchmarked head-to-head against llama.cpp.
使Android手机能够充当USB 启动盘或PXE网络启动,Make an Android phone provide PXE network booting or a USB boot drive.
Ηide files, folders, and packages from specific target apps.
ROM Shifter is a an Android app built to make flashing, backing up, and migrating between custom ROMs as painless as possible. As well provides tools for some common things we do after switching to another ROM.
Temporary KernelSU root and LSPosed recovery app for Galaxy S26 Ultra SM-S948N AZG3
📖 GPU parallel programming from the ground up : CUDA C++ and Rust 🦀 kernels paired with clickable SVG 2D/3D architecture diagrams (warps, SMs, memory tiers). Includes reduction, scan, matmul, and a full image‑processing capstone
GhostLock XRING O1 root loader for validated 6.6.77 and 6.6.118 kernels
Instant MicroVMs/Unikernels for macOS and Linux
DeepSeek-V4.1-Flash on two NVIDIA DGX Sparks: EXL3 weights from the official checkpoint, upstream vLLM with our patches and decode kernels
Optimized local serving engine for Kimi-Linear-48B: INT4 quantizer, fused decode kernels for a measured 3.18x, and an OpenAI-compatible server. Ships with k3, a bridge that detects the client per request so Claude Code, Codex, Cline, Aider and opencode all work unchanged.
Advanced performance & power control for rooted Android — monitor and tune CPU, GPU, RAM, ZRAM, thermals, and more with Max AI and Max Atlas.
Curated directory of Android root apps, Magisk, KernelSU, LSPosed modules, system tools, privacy utilities, and no-root Shizuku apps.
Low-memory C++20 LLM inference runtime for quantized GGUF models on CPU — mmap-backed weights, paged KV cache, Q4/Q8 kernels, and reproducible llama.cpp benchmarks.