manifold-learning

#自然语言处理#Statistical Machine Intelligence & Learning Engine

翻译 - 统计机器智能与学习引擎

#计算机科学#🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

#计算机科学#CellRank: dynamics from multi-view single-cell data

#计算机科学#Pytorch implementation of Hyperspherical Variational Auto-Encoders

Single cell trajectory detection

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

#计算机科学#Tensorflow implementation of Hyperspherical Variational Auto-Encoders

Manifold-learning flows (ℳ-flows)

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

TorchDR - PyTorch Dimensionality Reduction

#计算机科学#Systematically learn and evaluate manifolds from high-dimensional data

A Julia package for manifold learning and nonlinear dimensionality reduction

Tensorflow implementation of adversarial auto-encoder for MNIST

A Framework for Dimensionality Reduction in R

Data Science and Matrix Optimization course

Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"

This is the code implementation for the GMML algorithm.

Dimension Reduction and Estimation Methods