Code for the AAAI 2014 paper: Manifold Spanning Graphs
MIT License
Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a pr...
Machine learning, in numpy
Simple MNIST data parser written in Python
Hybrid Discriminative-Generative Training via Contrastive Learning
Python code for the paper "Binary classification as a phase separation process", by Rafael Montei...
Easy to use high level python library for popular machine learning algorithms. Has in-built suppo...
Just a MNIST dataset in different formats
Open source library for combining TDA and Machine Learning
Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for ...
Finding CNN topologies using Genetic Algorithms
This repository contains the code corresponding to the ICML-2020 publication: https://arxiv.org/a...
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
Efficiently generate and analyse high dimensional data.