Site web of the Mathematical Tours

Denoising Diffusion Probabilistic Models

This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.

Notebooks for the "JAX in Action" book

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A library of reinforcement learning components and agents

A Graph Neural Network Library in Jax

Tutorial material on the scientific Python ecosystem

A JAX research toolkit for building, editing, and visualizing neural networks.

TensorFlow-based neural network library

Optax is a gradient processing and optimization library for JAX.

JAX-based neural network library

Flax is a neural network library for JAX that is designed for flexibility.

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Training resources for Students at Uni Leipzig who want to dive into bio-image data science with Python. The material will develop between April and July 2024

Utilities to draw neural networks in LaTeX

Tools to Design or Visualize Architecture of Neural Network

Latex code for making neural networks diagrams

Collection of LaTeX resources and examples.

11-785 CMU Introduction to Deep Learning

DL assignments as a part of the course at CMU (11-785)

Dynamic Multimodal Inference [CMU Spring 2024 Course Project : 11-785 Introduction to Deep Learning]

Lecture notes & Exercises

11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials

A new lightweight auto-differentation library that directly builds on numpy. Used as a homework for CMU 11785/11685/11485.