The supplementary files for the ICML paper "Defining Neural Network Architecture through Polytope Structure of Datasets"

An R package for statistics and machine learning with persistence diagrams

RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds

A topological machine learning framework based on PyTorch

Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

R Package 📦 Containing the Datasaurus Dozen datasets 📊

Compresión/Reducción de datos para el entrenamiento de aprendizaje automático

A high-quality ellipse detector based on arc-support line segments which can both accurately and efficiently detect ellipses in images.

This web app can be used to compute and visualize featurized PH barcodes.

Data augmentation con GAugM y SEAL (predictor de aristas) para clasificación de nodos con Graph Neural Networks

Topological Data Analysis in Python

Topological Data Analysis in Python: Simplicial Complex

Open-source code for paper "Dataset Distillation"

DIstributed Persistence-Optimized Local Embeddings

Simplicial topology in Python

A small project implementing different per-vertex mesh signatures.

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

A software to build topological features from images.

Research and Development for Cybersecurity Engineering. Our mission is to develop a scientific theory of cybersecurity and a toolchain for the secure engineering of cyber-physical systems.

Create beautiful diagrams just by typing notation in plain text.

Recopilación de pensamientos.