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What is awesome-machine-learning?

patrickjs/awesome-machine-learning — explained in plain English

Analysis updated 2026-07-17 · repo last pushed 2015-01-16

★ 2PythonAudience · developerComplexity · 1/5DormantSetup · easy

In one sentence

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.

Mindmap

mindmap
  root((repo))
    What it does
      Curated tool directory
      Organized by language
      Organized by task
      Links plus descriptions
    Categories
      Natural language processing
      Computer vision
      General ML
      Data analysis
    Use cases
      Find existing solutions
      Pick a tech stack
      Learn ML theory
      Avoid building from scratch
    Audience
      Software developers
      Startups building AI
      Product teams
      Learners

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Browse one list instead of searching scattered sites for an ML library in your language.

USE CASE 2

Scan the NLP section to find text-analysis libraries for a chatbot project.

USE CASE 3

Check a language's Computer Vision subsection for image-analysis tools.

USE CASE 4

Read the linked free books to learn ML theory alongside the tool list.

What is it built with?

Markdown

How does it compare?

patrickjs/awesome-machine-learning0-bingwu-0/live-interpreter0xkaz/llm-governance-dashboard
Stars222
LanguagePythonPythonPython
Last pushed2015-01-16——
MaintenanceDormant——
Setup difficultyeasymoderatehard
Complexity1/52/54/5
Audiencedevelopergeneralops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

No setup needed, it's a reference list, not runnable code.

Copy-paste prompts

Prompt 1
I'm building a chatbot in Python, which NLP libraries in this list should I consider and why?
Prompt 2
Compare the Computer Vision tools listed for JavaScript versus Python in this repo.
Prompt 3
Suggest a beginner-friendly path through this repo's free machine learning books.
Prompt 4
Which General-Purpose Machine Learning libraries here work well for a small startup's first AI feature?
Prompt 5
List the ML tools in this repo written in Go or Erlang.

Frequently asked questions

What is awesome-machine-learning?

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.

What language is awesome-machine-learning written in?

Mainly Python. The stack also includes Markdown.

Is awesome-machine-learning actively maintained?

Dormant — no commits in 2+ years (last push 2015-01-16).

How hard is awesome-machine-learning to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is awesome-machine-learning for?

Mainly developer.

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