ai-agent

awesome-machine-learning: Find the Right ML Stack in Seconds

Name: awesome-machine-learning: Find the Right ML Stack in Seconds
Author: josephmisiti

Founders can quickly discover top‑rated ML frameworks, libraries and tools, saving weeks of research. Ideal for any startup building AI products. 75k+ GitHub stars.

beginner⏱ 5 minutes💵 Free

74,528 stars15,660 forksPythonGuide quality 9/10 · reviewed Oct 6Updated 9/30/2026100% free · open source

What it is

Use this to quickly find the best Machine Learning tools and libraries curated by the community.

Real use case example

"A founder, Emma, needs to choose a reliable NLP library for her startup's chatbot. She uses this skill to browse the curated list of popular libraries and selects the best one for her project. In just 30 minutes, Emma finds the perfect library and has her chatbot up and running."

Best insideAny AI Client

When to use it

•When searching for a comprehensive list of Machine Learning resources
•When looking for inspiration for new project ideas using Machine Learning
•When trying to find alternative libraries or frameworks for a specific Machine Learning task

Ready-to-paste prompt

To find a specific type of Machine Learning library, use the command: grep 'library_name' README.md, replacing 'library_name' with the actual name of the library you are looking for

Heads up: The repository is primarily a curated list of resources and does not include any executable code or dependencies, so users should be aware that they will need to visit the individual resource websites to access and utilize the actual libraries or frameworks.

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/awesome-machine-learning && curl -fsSL https://workflowstacks.com/api/skills/awesome-machine-learning/claude-skill -o ~/.claude/skills/awesome-machine-learning/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How awesome-machine-learning: Find the Right ML Stack in Seconds works

Codeflow

Free to inspect

Awesome-machine-learning: Find the Right ML Stack in Seconds is mostly documents (8 doc files, 1 small script) — something you read, not something you run. There is nothing to install. Last commit this month, Other license.

Size

Mostly documents

8 documents · 1 small script · 55 min skim

Setup

Nothing to install

A guide / curated list. Just read it and follow the links.

Runs on

Nowhere — you read it

A reading resource, not a program.

Python 100%

Where to start reading

1
README.md
Start here — what it does and how to install it

What's in each folder

scripts/Helper scripts2 files

READMEDocumentedOther licenseUpdated this month

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/awesome-machine-learning && curl -fsSL https://workflowstacks.com/api/skills/awesome-machine-learning/claude-skill -o ~/.claude/skills/awesome-machine-learning/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

josephmisiti

Language

Python

Do this with a working workflow

Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.

Outcome guide

Score your leads by ideal-customer fit

You describe your ideal customer once and keep leads in a Google Sheet. The workflow scores each 1–5 for fit with a one-line reason, so you sort and work the best first.