Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video

A community-maintained Python framework for creating mathematical animations.

Neural Networks: Zero to Hero

LLM101n: Let's build a Storyteller

Implementation of the transformer proposed in "Building Blocks for a Complex-Valued Transformer Architecture"

Online Decision Transformer

Transformer in RL for decision-making

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Transformer: PyTorch Implementation of "Attention Is All You Need"

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

Labs for MIT 6.S184/6.S975, IAP 2025

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

How to create a custom Gymnasium-compatible (formerly, OpenAI Gym) Reinforcement Learning environment. Then test it using Q-Learning and the Stable Baselines3 library. Companion YouTube tutorial pl…

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

A toolkit for developing and comparing reinforcement learning algorithms.

jax + quantum dynamics simulations

Library for pulse-level/analog control of neutral atom devices. Emulator with QuTiP.

Hands-On Machine Learning with C++, published by Packt

mlpack: a fast, header-only C++ machine learning library

Companion Code for C++ Crash Course

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

Implementation related to the Deep Complex Networks

Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.

A curated list of awesome model based RL resources (continually updated)