rasbt / reasoning-from-scratch

Implement a reasoning LLM in PyTorch from scratch, step by step

PolymathicAI / the_well

A 15TB Collection of Physics Simulation Datasets

cantaro86 / Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

microsoft / PhiCookBook

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

matheusfacure / python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Ramakm / AI-Engineering

A group of notebooks and other files which can help you learn AI from scratch.

ilmoi / MML-Book

Code / solutions for Mathematics for Machine Learning (MML Book)

wx-chevalier / AI-Notes

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

QInzhengk / Math-Model-and-Machine-Learning

数学建模和机器学习/深度学习/大模型的笔记和资料（持续更新中......）。

justxor / math-for-ai-2026

Курс-шпаргалка по математике для ИИ и ML 2026: линейая алгебра, матанализ, оптимизация, вероятности, стаистика, теория информации, трансформеры, диффузия, LM. Формулы, картинки, код, 40 задач, 100 вопросов

hamza01055 / ml-from-scratch

Machine learning from scratch with Python and NumPy. Explore 12 chapters covering regression, neural networks, trees, clustering, SVMs, and autodiff with mathematical derivations, interactive notebooks, gradient verification, and 59 automated tests. No scikit-learn or PyTorch.