patrickjs/awesome-machine-learning — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2015-01-16
Browse one list instead of searching scattered sites for an ML library in your language.
Scan the NLP section to find text-analysis libraries for a chatbot project.
Check a language's Computer Vision subsection for image-analysis tools.
Read the linked free books to learn ML theory alongside the tool list.
| patrickjs/awesome-machine-learning | 0-bingwu-0/live-interpreter | 0xkaz/llm-governance-dashboard | |
|---|---|---|---|
| Stars | 2 | 2 | 2 |
| Language | Python | Python | Python |
| Last pushed | 2015-01-16 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | easy | moderate | hard |
| Complexity | 1/5 | 2/5 | 4/5 |
| Audience | developer | general | ops devops |
Figures from each repo's GitHub metadata at analysis time.
No setup needed, it's a reference list, not runnable code.
A curated, community-maintained directory of machine learning tools and libraries, organized by programming language and task, like a Yellow Pages for finding the right ML tool fast.
Mainly Python. The stack also includes Markdown.
Dormant — no commits in 2+ years (last push 2015-01-16).
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.