A collection of popular Data Science Competitions

Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings

Updated code for abhipec/fnet

A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

Implementation of ChoiceNet

📝 准备秋招学习笔记

End-to-end Neural Coreference Resolution

This is the code we used in our paper accepted at ICLR 2018

Virtual adversarial training with Tensorflow

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

Reinforcement learning for natural language processing reading group

100+ Chinese Word Vectors 上百种预训练中文词向量

This released code is for our ACL2018 paper "End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions". It gets STOA performance in a textual entailment benchmark -…

An online continuous assessment leaderboard for knowledge base population.

✨State-of-the-art coreference resolution based on neural nets and spaCy

A series of models applying memory augmented neural networks to machine translation

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

An open-source NLP research library, built on PyTorch.

PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment

Recurrent neural network grammars

Implementations of deep reinforcement learning algorithms for experiments

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

Design, evolve, and train neural type systems.

Neural Fine-grained Entity Type Classification

Use pytorch to implement word2vec

Baseline Systems of DuReader Dataset

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

Recurrent neural network architectures in TensorFlow for predicting textual entailment.

Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom