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active_learning_spin

Code and Figures for "Active learning of spin network models"

bio-sfa

Code for reproducing the experiment from the paper "A biologically plausible neural network for Slow Feature Analysis"

contrastive-predictive-coding

Keras implementation of Representation Learning with Contrastive Predictive Coding

contrastive-predictive-coding-pytorch

Contrastive Predictive Coding for Automatic Speaker Verification

cpc-tensorflow

Tensorflow implementation of "Representation Learning with Contrastive Predictive Coding"

emf-rbm

Extended Mean Field Restricted Boltzmann Machine

geomstats

Computations and statistics on manifolds with geometric structures.

giotto-tda

A high-performance topological machine learning toolbox in Python

glace

Gaussian Embedding of Large-scale Attributed Graphs

graph2gauss

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

graph2gauss-pytorch

PyTorch implementation of graph2gauss

igci

Python code of information geometric causal inference

info-nce-pytorch

PyTorch implementation of the InfoNCE loss for self-supervised learning.

lllvm

mbam

Code for the Manifold Boundary Approximation Method

network_tda_tutorial

This repository is dedicated for the tutorial on network and topological neuroscience.

pychomp

CHomP (Computational Homology Project) with Python bindings

pymanopt

Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

pyriemann

Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive definite matrices in Python

pytorch-vq-vae

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

pytorch_geometric

Graph Neural Network Library for PyTorch

regularized-linear-autoencoders

Loss Landscapes of Regularized Linear Autoencoders

scikit-dimension

A Python package for intrinsic dimension estimation

scikit-tda

Topological Data Analysis for Python🐍

selftime

(Under Review)

shannonca

Information-based dimensionality reduction

sklearn-sfa

This project provides Slow Feature Analysis as a scikit-learn-style package.

sloppyising

slow-generative-features

Code for the paper "Exploring Slow Feature Analysis for Extracting Generative Latent Factors".

spdlayers

Symmetric Positive Definite (SPD) layers for PyTorch