Build a Jekyll blog in minutes, without touching the command line.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

a NodeJS library for monitoring changes on Wikipedia sites

displays edit activity on wikipedia

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

LAnguage Modelling Benchmarks

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Temporary fixes to FinnWordNet 2.0

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Training scripts and recipes for Sockeye Neural Machine Translation toolkit

Language Modeling for Code-Switching

Open Source Neural Machine Translation in PyTorch