taichi-dev / taichi
Productive, portable, and performant GPU programming in Python.
taichi-dev / taichi
exaloop / codon
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
plasma-umass / scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
taskflow / taskflow
A General-purpose Task-parallel Programming System in C++
Rust-GPU / rust-cuda
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
Rust-GPU / rust-gpu
🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
software-mansion / TypeGPU
A modular and open-ended toolkit for WebGPU, with advanced type inference and the ability to write shaders in TypeScript
NVIDIA / cccl
CUDA Core Compute Libraries
geomstats / geomstats
Computations and statistics on manifolds with geometric structures.
datawhalechina / diy-llm
Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐，6 项渐进代码作业，掌握 LLM 全栈知识
mlc-ai / modern-gpu-programming-for-mlsys
A tutorial on modern GPU programming for machine learning systems
h5i-dev / h5i
Unified Rust framework for building, verifying, and testing web apps. Kernel-based architecture for Lean 4 verification and GPU acceleration. Built-in red-teaming tools for automated vulnerability detection.
shadcn-labs / shadercn
Beautiful shader components, built on vgpu and TypeGPU. 100% Free, Zero config, one command setup.
yanght27 / GPU-Perf-Playground
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
mlc-ai / agentic-gpu-programming-for-mlsys
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arpanpathak / gpu-parallel-book
📖 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
arjun988 / GPU-Share
GPUMesh lets people you trust run Docker GPU jobs on your machine — and lets you run jobs on theirs — over authenticated peer-to-peer connections. No SSH, no VPN, no cloud that sees your workload. Pair once, allowlist stays default-deny, jobs stay in containers.
mohamedhossammohamed / m4-prefill-engine
Low-level Metal inference engine for Apple M4: universal quant formats at MLX parity, 1M-token out-of-core contexts, and speculative decode off flash storage.