Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.
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Mar 19, 2026 - Python
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kernel-optimization
Here are 16 public repositories matching this topic...
Production-Grade Autoresearch. Ideal for GPU kernels, ML model development, feature engineering, prompt engineering, and other optimizable code.
machine-learning code-generation code-optimization prompt-engineering kernel-optimization autoresearch
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Jul 13, 2026 - Python
AMD CDNA/RDNA (MI300 gfx942 / MI350 gfx950 / RDNA4 gfx1201) GPU kernel optimization knowledge base, packaged as a Claude Code skill. 7,400+ merged-PR references + 53 ISA-grounded synthesis pages. Inspired by MIT Han Lab's KernelWiki.
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Jun 11, 2026 - Python
Extended TileLang as a unified DSL to enable high-performance kernel development for Near-Memory Computing, Distributed Memory AI Accelerators, and Networked Accelerators.
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Jul 13, 2026 - Python
Learn Triton by building FlashAttention from scratch — V2 kernels, persistent threads, mask DSL, profiling toolkit, bilingual docs
tutorial cuda pytorch triton educational attention-mechanism gpu-programming forward-pass flash-attention kernel-optimization online-softmax
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May 25, 2026 - Python
Automatic Triton kernel generation and optimization for Intel GPU, powered by Claude Code.
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May 12, 2026 - Python
Noeris — autonomous kernel fusion discovery + Triton autotuning for LLM kernels and Gemma layer deeper fusion (A100/H100 wins).
benchmarking cuda pytorch triton autotuning gemma gpu-kernels github-actions kernel-fusion llm-training llm-inference kernel-optimization
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May 27, 2026 - Python
Trustless Triton-native AI distillation on SN74/Gittensor: verified datasets (SparkProof), training recipes, and eval harness for kernel-specialist LLMs on Blackwell.
open-source machine-learning axolotl nvidia triton reasoning gpu-kernels distillation huggingface blackwell confidential-computing llm kernel-optimization gittensor sparkproof
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Jul 12, 2026 - Python
Custom CUDA kernels for AWQ 4-bit LLM weight dequantization. A simple learning project.
cuda pytorch gpu-computing quantization gpu-programming machine-learning-systems inference-optimization awq vllm llm-inference kernel-optimization
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Jul 11, 2026 - Python
Triton FlashAttention kernel with PyTorch autograd, correctness tests, and GPU benchmarks.
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May 28, 2026 - Python
Proceso automático nocturno que mejora el rendimiento de la tarjeta gráfica para inteligencia artificial, siguiendo prácticas de optimización y eficiencia energética.
python machine-learning gpu cuda triton ollama nemotron kernel-optimization rtx5060 nightly-pipeline
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Jul 6, 2026 - Python
LLM agents that generate, verify, and evolve Triton GPU kernels. Includes a reward-hack-resistant benchmarking harness with strict correctness verification and fresh-input evaluation. Achieves up to 174.7× over PyTorch eager and outperforms FlexAttention (1.48×) and SDPA (1.17×) on selected workloads.
inference openai evolutionary-algorithms automatic-code-generation large-language-models agentic-workflow agentic-ai triton-kernels kernel-optimization gepa harness-engineering agentic-kernel-generation
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Jul 9, 2026 - Python
Hands-on CUDA kernel engineering on LLM decode bottlenecks (RMSNorm, GEMV): PyTorch/Triton/CUDA C++ kernels profiled with Nsight and evaluated against a real vLLM backend.
gpu cuda pytorch triton cuda-kernels gpu-programming nsight cuda-programming rmsnorm vllm llm-inference kernel-optimization
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Jun 28, 2026 - Python
Skill pack for custom PyTorch MPS kernels on Apple Silicon (examples, tests, and optimization patterns).
python machine-learning deep-learning metal gpu pytorch mps apple-silicon kernel-optimization metal-shading-language pytorch-mps
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Feb 16, 2026 - Python
Optimize PyTorch GPU kernels by autonomously profiling, extracting, and improving Triton or CUDA C++ code for better performance and efficiency.
rust reinforcement-learning kernel deep-learning gpu cuda configuration pytorch triton halide tensor kconfig tvm kernel-optimization autoresearch
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Jul 13, 2026 - Python
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