autodj

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

Source-to-Source Debuggable Derivatives in Pure Python

A simple library for creating complex neural networks

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.

Tensors and differentiable operations (like TensorFlow) in Rust

Softcopy of Engineering Books. If you want a book{s} to be taken down, please contact me.

An experimental computer algebra system written in Go