zwang4/awesome-machine-learning-in-compilers resource

Health v2 · maintenance only

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1689 stars · 180 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of research papers, books, talks, software tools, benchmarks, and datasets for applying machine learning to compilers and systems/program optimisation. It is maintained as a reference resource rather than a runnable software artifact.

Use cases

• find research papers on machine learning for compiler optimisation
• discover datasets and benchmarks for ML-based compiler tuning
• learn about autotuning and compiler option tuning with ML
• find tools for ML-guided program optimisation
• survey the state of ML for compilers and systems research
• locate conferences and journals publishing ML-for-compilers work

When to choose

• you are starting research at the intersection of ML and compilers
• you need a curated reading list of surveys and papers on compiler autotuning
• you want benchmarks or datasets for ML-based program optimisation experiments

When to avoid

• you need runnable compiler or ML software rather than references
• you want a tutorial with hands-on code rather than a paper index
• you need production tooling for compiler optimisation

Facets

learning-resource · maturity active

machine-learning compiler developer-tools documentation machine-learning compilers programming-languages awesome-lists tutorials artificial-intelligence cross-platform awesome-list research-papers compilers program-optimisation auto-tuning datasets curated-list

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markdown · JSON · MCP: product_card(name="zwang4/awesome-machine-learning-in-compilers")