orico/www.mlcompendium.com resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2195 stars · 237 forks observed · 2026-08-28

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

An open, Gitbook-based compendium of ~500 curated topics covering machine learning, deep learning, NLP, computer vision, time series, and data science management. It aggregates summaries, links, and articles as a free educational reference for learners at all levels.

Use cases

• find learning resources for machine learning algorithms
• study deep learning fundamentals and techniques
• look up NLP and computer vision reference material
• learn data science management and team building practices
• find curated articles on statistics and probability
• explore time series and anomaly detection topics
• get a broad overview of the ML landscape before interviews

When to choose

• you want a free, curated index of ML/DL reading material across many subfields
• you need quick summaries and links rather than runnable code
• you are a beginner or practitioner building a structured learning path
• you also care about the product, design, and management side of data science

When to avoid

• you need executable code, tutorials with exercises, or a structured course
• you want up-to-date cutting-edge research papers rather than curated references
• you need a single authoritative textbook-style treatment of one topic

Facets

learning-resource · maturity active

documentation developer-tools machine-learning deep-learning data-science computer-vision tutorials awesome-lists cross-platform gitbook curated-list reference education knowledge-base statistics product-management ux-design natural-language-processing web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="orico/www.mlcompendium.com")