Education●●Solid
A book that builds GPT-2, Llama 3, DeepSeek from scratch in PyTorch
Loads real Meta and OpenAI weights, not just training from scratch.
Niche GemBig Brain
s1lv3rj1nx
211mo ago
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GitHub Repository
Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
11 starsJupyter Notebook
I built 10 ML algos from scratch because fit() predict() are not enough
by akmoleksandr·Jun 9, 2026·4 points·1 comment
AI Analysis
●MidCozyNiche Gem
Yet another ML-from-scratch teaching repo in a crowded educational space.
Strengths
- •Five-stage framework (intuition, formalization, implementation, test, tips) structures learning well.
- •Direct comparison with Scikit-learn and PyTorch validates from-scratch implementations.
Weaknesses
- •Reference implementation for a book, not a novel tool or technique.
- •Building ML algos from scratch is well-trodden educational territory.
Category
Target Audience
Students learning ML fundamentals, self-taught developers
Similar To
grokking-deep-learning · ML-From-Scratch · fastai
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