State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

LaTeX style for Python highlighting

A game theoretic approach to explain the output of any machine learning model.

Matplotlib styles for scientific plotting

A complete computer science study plan to become a software engineer.

Hands-On Machine Learning with C , published by Packt

The most widely used Python to C compiler

C Implementation of PyTorch Tutorials for Everyone

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Efficiently computes derivatives of NumPy code.

Curated list of awesome GAN applications and demo

A technical report on convolution arithmetic in the context of deep learning

starter from "How to Train a GAN?" at NIPS2016

Graph Neural Network Library for PyTorch

A collection of resources and papers on Diffusion Models

Fastest random walks generator on networkx graphs

A library for scientific machine learning and physics-informed learning

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations