michaelc-yu / cs336-llm-systems

Large language model systems implementation and optimization: Transformers, BPE tokenization, FlashAttention, Triton, distributed training, GPU profiling, and GRPO reasoning RL

intel / gpu-ai-skills

Agent Skills for running, benchmarking, and profiling Hugging Face models on Intel GPUs — PyTorch, vLLM-XPU, and SGLang-XPU

zackees / mimalloc-pprof

4th generation Mimalloc: fixes large alloc peak memory, same speed class. Cut large-buffer peak RSS > 50%. Memory purging, pprof heap profiling. Drop-in for C and Rust

OpenPerfAgent / who-ate-my-flops

A small plugin for Claude Code and Codex to optimize PyTorch workloads.

wieslawsoltes / Performance-Skill

Cross-platform .NET performance engineering skill for coding agents, covering CPU, memory, GC, benchmarking, concurrency, startup, native profiling, GPU rendering, and production diagnostics on macOS, Windows, and Linux.

deepanshu406 / python-ebpf-profiling

eBPF-powered Python profiling toolkit CPU profiling, GC pauses, GIL contention, off-CPU analysis, network health

ronisbr / TerminalScope.jl

Interactive terminal UI to diagnose Julia code: runtime and allocation profiling, inference time, invalidations, and Cthulhu-style type-instability inspection.

usamahz / make-your-model-fast

A Systems View of Efficient Machine Learning, from Silicon to Agents. Fourteen parts, from roofline analysis and vector units up through kernels, compilers, quantisation, compression, vision, on-device language models, robotics, profiling, serving and agents.

intel / skills

Skills for running, porting, profiling, and tuning code on Intel CPUs, GPUs, and the libraries and runtimes behind them.