oleg-kachan

diagram2vec

Vector Representations of Persistence Diagrams

stiefel-averaging

Averaging on Stiefel manifold

TDA-YSDA

TDA course @ Yandex Data School

GMML2023

Geometric Methods in Machine Learning

fmri-features

fMRI feature extraction library

geomstats

Computations and statistics on manifolds with geometric structures.

gse

Implementation of Grassman-Stiefel Eigenmaps manifold learning algorithm

grassmann-averaging

Averaging on Grassmann manifold

Atlas

Autoencoder for learning an atlas for a manifold

diagram2vec.jl

Vector Representations of Persistence Diagrams

Exact_PGA

An algorithm to do exact PGA on constant curvature manifolds

hypergraph-feature-extractor

This repository is a course project on Machine Learning course at Skoltech.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

ldr

code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research

mec_optim_2021-01

‘math+econ+code’ lectures on optimal transport and economic applications, January 2021

moldr

Manifold optimization for linear dimensionality reduction of MD trajectories

networkx

Network Analysis in Python

reinforcement_learning

A course in reinforcement learning in the wild

riemannian_sgns

RNN-for-SPD

Recurrent Neural Network for SPD matrices

Simplicial.jl

A package for various computations with simplicial complexes, combinatorial codes, directed complexes and their filtrations.

smote_parameters

tda-datasets

TDA datasets

tda_hse2023

TDA @ HSE 2023

test

ts-networks

Time series networks

vector-fields-alignment

Vector Fields Alignment on Manifolds via Contraction Mappings