yeyeye529

fairseq

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

Mask-Predict

A masked language modeling objective to train a model to predict any subset of the target words, conditioned on both the input text and a partially masked target translation.

graphical-gan

source code of the paper Graphical Generative Adversarial Networks

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

iONMF

Integrative orthogonal non-negative matrix factorization

crow-example

Demonstration of NMTF and interpretation of results.

fast-nmtf

Fast methods for non-negative matrix tri-factorization

NMTF

An implementation of the paper "Nonnegative Matrix Tri-Factorization with Graph Regularization for Community Detection in Social Networks"

libnmf

Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)

SeaNMF

Short Text Topic Modeling

scikit-tensor

Python library for multilinear algebra and tensor factorizations

sictf

Relation Schema Induction using SICTF

multiwoz

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

nlg-eval

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

ubuntu-ranking-dataset-creator

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

NNDIAL

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

e2e-metrics

E2E NLG Challenge Evaluation metrics

scikit-learn

scikit-learn: machine learning in Python

gumbel-softmax

categorical variational autoencoder using the Gumbel-Softmax estimator

neural-template-gen

Disentangled-Sequential-Autoencoder

Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).

models

Models and examples built with TensorFlow

vmf_vae_nlp

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

pytorch-qrnn

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

DeepNLP-models-Pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

VariationalRecurrentNeuralNetwork

Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

texar

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

NeuralDialog-CVAE

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU