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pydata-amazon-products
Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"RotationForest
Implementation of the Rotation Forest by Rodriques et al. 2006dynetlsm
DynetLSM: latent space models for dynamic networkssliced
sliced: scikit-learn compatible sufficient dimension reductionL1-Trend-Filtering
This is a Python package wrapper around the C solver for the l1 trend filtering algorithm written by Kwangmoo Koh, Seung-Jean Kim and Stephen Boyd.RandomForestClustering
Unsupervised Clustering using Random Forestsdrforest
Dimension Reduction ForestsSTAT542
Code for STAT 542: Statistical Learning (Fall 2017 @ UIUC)ForestKernels
Kernel functions derived from ensembles of treesClumPy
Implementation of various clustering algorithmsstatlearn
Code implementing some of the algorithms in Elements of Statistical LearningMarginalizedDenoisingAutoEncoder
Python Package for the Marginalized Denoising Autoencoder Algorithmrap-lyrics
Perform LDA on Rapper's Corpus of Musicdockerenv
Virtual environments within dockerBaumkuchen
Repository to host various keras modelsnlp-data
Datasets for NLP TasksAmazonProductCategorization
Example of using TensorFlow for Product CategorizationYouAreNotMySupervisor
Clustering Sandbox in Pythonlsmdn
Latent Space Models for Dynamic NetworksVecGram
Natural Language Processing Models with a Focus on Deep LearningVary
Neural Variational Inference for Topic ModelsLove Open Source and this site? Check out how you can help us