Repository for the Deep One-Class Classification ICML 2018 paper

Reference models and tools for Cloud TPUs.

A tutorial on the PyTorch-based ocropus components.

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

A TensorFlow Implementation of the Transformer: Attention Is All You Need

neural variational document model

Bypass that mental block when writing your papers.

Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.

This repository contains the onboarding resources and exercises that are recommended for when you join the Whitaker Lab.

Data analysis and visualization

A python implementation of the Rapid Automatic Keyword Extraction

Simple web service providing a word embedding model

Master the command line, in one page

Reinforcement Learning BCCN Miniproject

The new python parameter exploration toolbox. pypet manages exploration of the parameter space and data storage into HDF5 files for you.