Source code for paper "Fine-tuning Performance Prediction Using TDA" by Alexey Shishkov

Recreating scientific paper "TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection From Chest X-Ray Images".

Proyecto 1 de Estructuras de Datos

Here there are some useful stuff I have written to work on topological data analysis. Some of the code was developed with specific datasets in mind, but most should generalize well.

Basic TDA tools project

A python package for computing Persistence Curves

DataStructures generic functions, library functions and exercises made in C

Create alerts based on the option delta (TD Ameritrade client apps only allow for alerts to be created on basic price). Notify of the option metrics via a Slack Webhook

giotto topological data analysis forescating financial data tutorial

Creacion de ABM completo con Listas de tipo Void en C para Structs. Algoritmos y Estructuras de Datos.

A data pipeline that represents point clouds as multi-parameter persistent homology landscapes for deep learning models

Small prediction model based on TDA and classic deep-learning methodologies.

Personal Website - Niny AM

An application example of topological ideas in data analysis. We use R package "TDA" to study a car- accidents dataset.

Simple Python implementation of the Mapper algorithm from topological data analysis

Part of TDA Thesis

Implementation of the data structure to represent AVL binary trees in java