gpu-mode/awesomeMLSys resource
An ML Systems Onboarding list observed · 2026-08-28
Health v2 · maintenance only
55/100
- Activity 68
- Release rhythm 35
- Longevity 60
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 849
- days_rel: n/a
- days_push: 195
- n_releases_24m: 0
Adoption not part of the score
1120 stars · 45 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated reading list of papers, videos, and repositories for onboarding into ML Systems, covering attention mechanisms, LLM inference, and performance optimizations. It is maintained by the GPU Mode community and points to resources like Flash Attention, PagedAttention, and speculative decoding.
Use cases
- learn ml systems fundamentals
- find papers on llm inference optimization
- understand flash attention and kv caches
- onboarding material for gpu inference engineering
- study list for transformer serving performance
- learn about paged attention and continuous batching
When to choose
- you are ramping up on ML systems and LLM inference
- you want a curated, opinionated study path with papers and repos
- you want to understand GPU-level performance optimizations for transformers
When to avoid
- you need runnable software rather than a reading list
- you want beginner-level machine learning tutorials unrelated to systems
- you need exhaustive coverage of all ML topics
Facets
learning-resource · maturity active
llm-inference gpu-computing machine-learning machine-learning large-language-models gpu-computing tutorials python reading-list ml-systems awesome-list papers inference-optimization gpu
1 source
- readme: https://github.com/gpu-mode/awesomeMLSys · fetched 2026-08-28 · c8f1805ace76
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| gpu-mode/awesomeMLSys | main | 55 |
For agents
markdown · JSON · MCP: product_card(name="gpu-mode/awesomeMLSys")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem