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

High-Resolution Image Synthesis with Latent Diffusion Models

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

Open source book about making Python packages.

A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"

A library for dimensionality reduction on spatial-temporal PDE

Deep Insight And Neural Network Analysis

Main repository of the PolyPhy package

A repository for using the distributed information bottleneck to locate information in data

Code for reproducing the results of the preprint Maximally Predictive Ensemble Dynamics from Data (2021)

Behavioural and Dynamic Learning Network (BunDLe-Net) is an algorithm to learn meaningful coarse-grained representations from time-series data. It maps high-dimensional data to low-dimensional spac…

This repository contains the scripts for reproducing the results presented in Costa AC, Ahamed T, Jordan D, Stephens GJ (2023) "A Markovian dynamics for C. elegans behavior across scales" https://a…

Reservoir Computing and related information processing methods

Tutorial of posture sequences analysis from PCA to transition matrix clustering

Reservoir Computing and related information processing methods