GPU Accelerated t-SNE for CUDA with Python bindings

Pytorch implementation for t-SNE with cuda to accelerate

Object classification with CIFAR-10 using transfer learning

A practical guide to topic mining and interactive visualizations

A python wrapper for Barnes-Hut tsne: for Python >= 3.5

CUDA-accelerated PyTorch implementation of t-SNE

A research paper recommender system that recommends similar research papers based on abstract text of the papers.

Interactive tool for building correlation maps between governments worldwide.

This is Matlab script for plotting 2 Dimensional and 3 Dimensional t-Distributed Stochastic Neighbor Embedding (t-SNE).

This Machine Learning project deals with Coupon Recommendations based on Revenue Uplift

Interactive Machine Learning Examples

R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.

Breast region segmentation with multiatlas deformable registration

Fast Barnes-Hut t-SNE with Tensorflow integration

An image search implementation in python using tensorflow keras, scikit-learn, scipy and matplotlib.

Dimensionality Reduction technique in machine learning both theory and code in Python. Includes topics from PCA, LDA, Kernel PCA, Factor Analysis and t-SNE algorithm

This is an implementation of 3 dimensionality reduction techniques - PCA, SVD, and tSNE for visualization of high dimensional data in 2D and 3D.

Maximizing Revenue with Individualized Coupon Optimization Using Tree-Based Models

MODE-TASK plugin for PyMOL