# amitness/learning

A log of things I'm learning

Repository: https://github.com/amitness/learning
Canonical: https://ross.abutalabs.com/products/learning
Homepage: https://twitter.com/amitness
License: MIT
License Family: permissive
Topics: learning-resources, deep-learning, machine-learning, python, generative-ai, llms, nlp
Last push: 2026-08-04T12:18:01+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 96, release rhythm 35, longevity 100
- inputs: {"age_days": 3202, "days_push": 29, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6948, forks 882 (observed 2026-08-28T04:09:51.677900+00:00)

## What it is
A personal, publicly maintained log of learning resources (books, courses, tutorials) covering machine learning, deep learning, NLP, generative AI, and software engineering skills. It serves as a curated roadmap with progress tracking, updated monthly.

## Use cases
- find resources to learn machine learning
- roadmap for learning generative AI and LLMs
- curated list of NLP learning materials
- study plan for data science and system design
- recommend courses for learning deep learning with Python

## When to choose
- you want a curated, opinionated list of ML/AI learning resources
- you need a structured roadmap covering math, system design, and ML
- you prefer tracked progress across books and courses

## When to avoid
- you need runnable code or a software library
- you want interactive tutorials rather than links to external resources
- you need comprehensive coverage beyond the author's personal focus areas

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: machine-learning, deep-learning, large-language-models, tutorials, education
- platform: python
- tags: learning-log, curated-resources, generative-ai, study-plan, awesome-list, natural-language-processing

## Member repositories
- amitness/learning (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:51.677900+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:41:13.011789+00:00, confidence not recorded.
  - readme: https://github.com/amitness/learning (fetched 2026-08-28T04:09:51.677900+00:00, sha cdc062d910ae)
- Data as of 2026-08-30T08:39:29.467469+00:00.