# yanshengjia/ml-road

Machine Learning and Agentic AI Resources, Practice and Research

Repository: https://github.com/yanshengjia/ml-road
Canonical: https://ross.abutalabs.com/products/ml-road
Language: Python
License: MIT
License Family: permissive
Topics: machine-learning, deep-learning, nlp, computer-vision, speech-recognition, tensorflow, pytorch, agentic-ai
Last push: 2026-08-01T12:36:17+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 100
- inputs: {"age_days": 3228, "days_push": 32, "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 4920, forks 1725 (observed 2026-08-28T04:09:02.434927+00:00)

## What it is
A curated collection of machine learning and agentic AI resources, including courses, practice materials, and research references. It aggregates educational content spanning ML, deep learning, NLP, computer vision, and speech recognition.

## Use cases
- find machine learning courses to learn from
- learn deep learning with tensorflow and pytorch
- study resources for agentic AI
- find NLP and computer vision learning materials
- get a roadmap for learning machine learning
- discover speech recognition learning resources

## When to choose
- you want a curated index of ML/AI courses and study materials
- you are self-studying machine learning or agentic AI and need structured resources
- you want free educational references across multiple AI subfields

## When to avoid
- you need production-ready ML code or a deployable library
- you want a maintained software tool rather than a resource collection
- you need commercial-use materials (repo is educational-only)

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, nlp, computer-vision, speech-recognition
- domain: machine-learning, deep-learning, computer-vision, artificial-intelligence, tutorials
- platform: python, cross-platform
- tags: agentic-ai, courses, tensorflow, pytorch, educational-resources, awesome-list, natural-language-processing

## Member repositories
- yanshengjia/ml-road (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:02.434927+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 2026-08-29T18:18:02.255619+00:00, confidence not recorded.
  - readme: https://github.com/yanshengjia/ml-road (fetched 2026-08-28T04:09:02.434927+00:00, sha fcd5c353e587)
- Data as of 2026-08-30T08:39:29.467469+00:00.