AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers

A repository to curate and summarise research papers related to fashion and e-commerce

Must-read papers on network representation learning (NRL) / network embedding (NE)

Tensorflow implementation of a Neural Turing Machine

Context Selection for Embedding Models

Info for NLP1 2017 projects

a Deep Learning Framework for Text https://delft.readthedocs.io/

Sparse Additive Generative Model of Text

A Benchmark of Text Classification in PyTorch

A Python implementation of global optimization with gaussian processes.

Temporal Word Analogies in Python

Code for the TACL paper "Overcoming Language Variation in Sentiment Analysis with Social Attention"

📚 Find your next book to read!

Unsupervised Neural Machine Translation

Collection of tools for building diachronic/historical word vectors

Bernoulli Embeddings for Text

This repository provides a starter code for using tensorboard via tensorflow for visualising embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

articles about research and phd advice

Handout for the tutorial "Creating publication-quality figures with matplotlib"

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

This repository contains the NarrativeQA dataset. It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers.

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

Code for the paper 'Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods' - EMNLP 2017

Poincaré Embedding (unofficial)

Graph Convolutional Networks in PyTorch

SideNet: Neural Extractive Summarization with Side Information

Natural Language Processing Tasks and References