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arae

Code for the paper "Adversarially Regularized Autoencoders for Generating Discrete Structures" by Zhao, Kim, Zhang, Rush and LeCun

aspect_adversarial

Aspect-augmented Adversarial Networks for Domain Adaptation

autosmart

awesome-python3-webapp

小白的Python入门教程实战篇：网站+iOS App源码→ http://t.cn/R2PDyWN 赞助→ http://t.cn/R5bhVpf

bert

TensorFlow code and pre-trained models for BERT

birnn-language-model-tf

Tensorflow implementation of Bi-directional RNN Langauge Model

caffe-yolo9000

Caffe for YOLOv2 & YOLO9000

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

character-level-language-modeling-with-deeper-self-attention-pytorch

Reproducing Character-Level-Language-Modeling with Deeper Self-Attention in PyTorch

chinese

Tools and resources for Chinese texts preprocessing. Validated in two papers, one CCF C, EI indexing and one CCF B, SCI indexing.

chinese-poetry

最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

chinese_dataset

chinesebert

chrome-plugin-demo

《Chrome插件开发全攻略》配套完整Demo，欢迎clone体验

cogcomp-nlp

CogComp's Natural Language Processing libraries and Demos:

coherence-rst

Modelling discourse coherence with RST structures.

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

csc

ChineseBert用于中文拼写纠错

ctcresources

cyclegan

Tensorflow implementation of CycleGANs

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

discourse-connectives

复现论文 Automatic Prediction of Discourse Connective

domain-transfer-network

TensorFlow Implementation of "Unsupervised Cross-Domain Image Generation"

dplp

A RST Parser with a trained model

dualgan

DualGAN-tensorflow: tensorflow implementation of DualGAN

dynamicmemorynetworks

Python implementation of DMN

electra_tensorrt

fairseq

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

fairseq-gec

Source code for paper: Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data