☆102Mar 31, 2026Updated 6 months ago
Alternatives and similar repositories for awesome-kernel-skills
Users that are interested in awesome-kernel-skills are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Skills for writing tilelang and debugging with CUDA toolkits.☆149Oct 23, 2026Updated last week
- Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.☆1,614Oct 23, 2026Updated last week
- ☆172Aug 8, 2026Updated 2 months ago
- let coding agents use ncu skills analysis cuda program automatically!☆130May 25, 2026Updated 5 months ago
- A CUDA kernel optimization toolkit for validation, benchmarking, Nsight Compute profiling, bottleneck analysis, and iterative tuning. It …☆218Sep 5, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆11May 21, 2026Updated 5 months ago
- Efficient and unified implementations for TopK-based sparse attention☆41Jul 10, 2026Updated 3 months ago
- High performance RMSNorm Implement by using SM Core Storage(Registers and Shared Memory)☆31Jan 22, 2026Updated 9 months ago
- Claude Code agent skills for writing optimized Triton GPU kernels☆15Mar 6, 2026Updated 7 months ago
- FA4-based Relative Attention Kernel developed by TML and Colfax☆18Sep 11, 2026Updated last month
- ☆27Feb 27, 2026Updated 8 months ago
- Step-by-step GEMM optimization, one hardware feature at a time. High performance CuTeDSL kernels for H100, B200 and RTX 50s GPUs. This re…☆22May 14, 2026Updated 5 months ago
- Kernel Design Agents (KDA) is a agent-centric workflow to write high-performance CUDA Kernels.☆1,500Oct 19, 2026Updated last week
- Agentic Kernel Optimization for All — automated GPU kernel optimization for any kernel, any hardware, any language☆379Sep 15, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A skill for automatically optimizing CUDA code.☆47Mar 26, 2026Updated 7 months ago
- Some funny cute/cuteDSL code snippets☆35Mar 2, 2026Updated 7 months ago
- Agentic Kernel Optimization — advanced & eXtensible: a closed-loop, campaign-based multi-agent system for optimizing GPU kernels (benchma…☆84Sep 15, 2026Updated last month
- Kernel Library for Large Headdim Attention (64~1024, BF16/FP8/FP4), 1.5x~15x↑ vs PyTorch SDPA.☆345Oct 23, 2026Updated last week
- ☆1,089Updated this week
- 🔥 LLM-powered GPU kernel synthesis: Train models to convert PyTorch ops into optimized Triton kernels via SFT+RL. Multi-turn compilation…☆153Nov 10, 2025Updated 11 months ago
- A linker for partial GPU kernels.☆38Updated this week
- Speed of Light Analysis for ML Model Runtime☆143Oct 13, 2026Updated 2 weeks ago
- From Minimal GEMM to Everything☆247Jul 9, 2026Updated 3 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- NCU-driven iterative optimization workflow for CUDA/CUTLASS/Triton/CuTe DSL kernels.☆25Apr 10, 2026Updated 6 months ago
- ☆58Sep 27, 2026Updated last month
- Code and reproducibility artifacts for reconstructing megakernel persistence with CUDA PDL☆26Aug 5, 2026Updated 2 months ago
- Ulysses sequence-parallel all-to-all as a torch custom op, moved by the GPU copy engines into torch symmetric memory. Zero SM usage; 1.66…☆54Aug 25, 2026Updated 2 months ago
- ☆536Aug 26, 2026Updated 2 months ago
- ☆267Oct 14, 2026Updated 2 weeks ago
- ☆194May 11, 2026Updated 5 months ago
- VibeRL is a Reinforcement Learning framework built essentially through vibe coding with Kimi K2.☆18Updated this week
- ☆17Mar 29, 2026Updated 7 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ⚡️Qwen-Image 4.8x🎉 speedup with Hybrid Acceleration for low VRAM GPUs☆17Oct 24, 2025Updated last year
- ☆32Jul 2, 2025Updated last year
- [KernelGYM & Dr. Kernel] A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations [ICML…☆216Mar 29, 2026Updated 7 months ago
- how to optimize some algorithm in cuda.☆3,337Oct 11, 2026Updated 2 weeks ago
- Examples of CUDA implementations by Cutlass CuTe☆283Jul 1, 2025Updated last year
- ☆37Aug 7, 2025Updated last year
- FlashInfer: Kernel Library for LLM Serving☆6,821Updated this week