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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 ForestsLargeVis
Sklearn style cython extension around the LargeVis AlgorithmSTAT542
Code for STAT 542: Statistical Learning (Fall 2017 @ UIUC)ClumPy
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