Homemade Machine Learning
Focus: jupyter and tutorials. Shares machine learning and python with ML From Scratch. Same 4.7 rating.
CourseFreeWeb
4.7Visit
Course
ML From Scratch
Bare bones NumPy implementations of machine learning models and algorithms.
Rating
4.7 / 5
Pricing
Free
Difficulty
Intermediate
Works on
Web
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What is ML From Scratch?
ML-From-Scratch is a collection of accessible, bare-bones NumPy implementations of machine learning models and algorithms — from linear regression to deep learning — with a focus on readability and learning.
Third-party open-source projects. We are not affiliated with their authors; repositories are provided as-is by their maintainers. Review each project's license, code and security before installing. See our Disclaimer.
Pros: what ML From Scratch does well
- Covers a huge range of algorithms
- Readable NumPy-only code
- Great bridge from theory to practice
Cons: where it falls short
- Not optimised for performance
- Learning resource, not a library to ship
Who ML From Scratch is for
Students and engineers learning how ML algorithms work under the hood.
Who can skip it
Practitioners needing production-grade performance.
ML From Scratch alternatives
Not sold on ML From Scratch? These do a similar job, and each card says what it has in common.
Train LLM From Scratch
Focus: llm, training and tutorial. Shares machine learning and from scratch with ML From Scratch. Same 4.7 rating.
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micrograd
Focus: autograd, neural networks and karpathy. Shares education and python with ML From Scratch. Rated 4.8 (ML From Scratch: 4.7).
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fast.ai
Focus: deep learning, course and free. Shares machine learning and python with ML From Scratch. Rated 4.8 (ML From Scratch: 4.7).
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Made With ML
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AI Expert Roadmap
Focus: ai, roadmap and learning. Shares machine learning and open source with ML From Scratch. Same 4.7 rating.
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Free alternatives to ML From Scratch
Want to spend nothing? These free picks cover similar ground.
Spinning Up in Deep RL
Focus: reinforcement learning, openai and course. Shares education and open source with ML From Scratch. Same 4.7 rating.
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How to Train Your GPT
Focus: llm, deep learning and tutorial. Shares from scratch and open source with ML From Scratch. Rated 4.5 (ML From Scratch: 4.7).
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Teachable Machine
Focus: ai and no code. Shares machine learning and education with ML From Scratch. An AI tool, not a course. Rated 4.6 (ML From Scratch: 4.7).
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Machine Learning Systems (Harvard CS249r)
Focus: ai systems, textbook and harvard. Shares machine learning and open source with ML From Scratch. A book, not a course. Rated 4.5 (ML From Scratch: 4.7).
BookFreeWeb
4.5Visit
FinAI Research
Focus: finance, economics and research. Shares open source and python with ML From Scratch. An AI tool, not a course. Adds macOS, Windows and Linux. Rated 4.2 (ML From Scratch: 4.7).
AI ToolFreemacOS, Windows
4.2Visit
Dive into Deep Learning
Focus: deep learning, book and course. Shares open source with ML From Scratch. Rated 4.9 (ML From Scratch: 4.7).
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