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neonwatty/machine-learning-refined

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

PossiblePossibly related (embedding) · 54%Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials →
PossiblePossibly related (embedding) · 53%IN 2026 ML BOOK OUTDATED? [D] →
PossiblePossibly related (embedding) · 48%Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics →

Implements

paperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials

Covers

newsIN 2026 ML BOOK OUTDATED? [D]

Implements (incoming)

paperEntropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics

Related across the graph

paperEntropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics paperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials newsIN 2026 ML BOOK OUTDATED? [D]

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