Explore high-dimensional datasets and how your algo handles specific reg...
An approach to document exploration using Machine Learning. Let's cluste...
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scA...
tsne visualization of images in a square grid
Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using ...
create "Karpathy's style" 2d images out of your image embeddings
PyTorch implementation of the Word2Vec (Skip-Gram Model) and visualizing...
Scripts demo-ing how to train a Word2Vec model and reduce its vector space
Unsupervised clustering of movie posters with features extracted from Co...
Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,S...
R wrappers to connect Python dimensional reduction tools and single cell...
pytorch implement of Label Smoothing
A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, im...