Statistical Learning

Awesome artificial intelligencePython

A curated collection of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.

Awesome Artificial IntelligencePython

A curated list of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.

pattern_classificationJupyter Notebook

A comprehensive collection of tutorials, examples, and resources for understanding and solving machine learning and pattern classification problems.

m2cgenPython

Transpile trained machine learning models into native code (Java, C, Python, Go, etc.) with zero dependencies.

smartcoreRust

A fast, ergonomic machine learning library for Rust with broad algorithm coverage and WASM-first defaults.

tickPython

A Python library for statistical learning with a focus on time-dependent modeling, including point processes and generalized linear models.

machinelearn.jsTypeScript

A TypeScript machine learning library for the web and Node.js with a simple, consistent API.

the-elements-of-statistical-learningJupyter Notebook

Jupyter notebooks implementing algorithms, proofs, and summaries from 'The Elements of Statistical Learning' textbook.

SuperLearnerR

An R package for automatic optimal predictor ensembling via cross-validation with dozens of machine learning algorithms.

kernel smoothingLua

Implementation of kernel smoothers (KNN, kernel-weighted average, local linear regression) in Lua for statistical learning.