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

Improving Transferability of Representations via Augmentation-Aware Self-Supervision

Tree Nested PyTorch Tensor Lib

Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network.

Scalable machine learning based time series forecasting

PyTorch implementation and pretrained models for XCiT models. See XCiT: Cross-Covariance Image Transformer

Normalizing Flows with a resampled base distribution

Learning Domain Invariant Representations in Goal-conditioned Block MDPs

PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data.

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Official repository for "On Improving Adversarial Transferability of Vision Transformers" (2021)

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(ICCV'21) Official PyTorch implementation of Relational Embedding for Few-Shot Classification

Deep Image Search is an AI-based image search engine that includes deep transfor learning features Extraction and tree-based vectorized search.

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