manifold-learning topic
Palantir
Single cell trajectory detection
ManifoldLearning.jl
A Julia package for manifold learning and nonlinear dimensionality reduction
tldr
TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
tensorflow-mnist-AAE
Tensorflow implementation of adversarial auto-encoder for MNIST
GSS
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
DSMO.course
Data Science and Matrix Optimization course
GDM-PCE
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
DRMEA
Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).
Credit
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
dlaudio
Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)