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

Last update: Dec 12, 2022

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Overview

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

This repository contains the code asscoiated to this arXiv article.

tutorial.ipynb is a jupyter-notebook to run a small version of our experiments on a synthetic data set. It has been tested with Tensorflow version 2.5.0.
expes_synth_ucr.zip contains code and instructions for reproducing the full experiments on synthetic and UCR time series data sets.
expes_3Dshape.zip contains code and instructions for reproducing the full experiments on 3D shape data sets.

Owner

Felix Hensel

Postdoc in Machine Learning and TDA PhD in Mathematics

GitHub Repository

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

Related tags

Overview

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

Owner

Felix Hensel

Official implementation of TMANet.

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.

This repository contains the scripts for downloading and validating scripts for the documents

HW3 ― GAN, ACGAN and UDA

Robustness between the worst and average case

Convert Apple NeuralHash model for CSAM Detection to ONNX.

Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)

Data and Code for ACL 2021 Paper "Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning"

Official code for the ICCV 2021 paper "DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders"

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

Pmapper is a super-resolution and deconvolution toolkit for python 3.6+

Python package for missing-data imputation with deep learning

CTRL-C: Camera calibration TRansformer with Line-Classification

A pure PyTorch batched computation implementation of "CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition"

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Bald-to-Hairy Translation Using CycleGAN

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