Lists (4)
Stars
Bringing Characters to Life with Computer Brains in Unity
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems…
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
😎 A curated list of awesome github pages porfolio templates 📝
This is a sample Nuxt 3 project deployed on GitHub Pages
A list of schools and researchers in computational neuroscience
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…
Main repository of the PolyPhy package
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
A package for computing data-driven approximations to the Koopman operator.
A library for dimensionality reduction on spatial-temporal PDE
A repository for using the distributed information bottleneck to locate information in data
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
Vector Quantized VAEs - PyTorch Implementation
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
Tools for estimating and analyzing Markov state models
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…
Tutorial of posture sequences analysis from PCA to transition matrix clustering
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation