elicit/machine-learning-list resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1464 stars · 125 forks observed · 2026-08-28

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

A curated, tiered reading list and curriculum for learning machine learning with a focus on language models and foundation models, from fundamentals to frontier topics like scaling, safety, and interpretability. It is maintained by Elicit primarily to onboard new ML and software engineers.

Use cases

• learn machine learning from scratch
• curriculum for understanding transformers and language models
• reading list of foundational ML papers
• onboarding material for ML engineers
• study foundation models and AI safety
• self-study path into deep learning and LLMs

When to choose

• you want a structured, tiered path through ML and LLM literature
• you are onboarding engineers into ML-focused roles
• you want curated papers and videos rather than building software

When to avoid

• you need runnable code, libraries, or tools
• you want interactive exercises or graded coursework
• you need a non-ML software engineering curriculum

Facets

learning-resource · maturity active

machine-learning deep-learning llm-training prompt-engineering rag machine-learning deep-learning large-language-models artificial-intelligence tutorials cross-platform curriculum reading-list foundation-models transformers papers education

Member repositories

For agents

markdown · JSON · MCP: product_card(name="elicit/machine-learning-list")