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Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

tfjs-models

Pretrained models for TensorFlow.js

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

nlp_chinese_corpus

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

cudf

cuDF - GPU DataFrame Library

Chinese-Text-Classification-Pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

transformer-xl

gpt-2-simple

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

PyTorch-BigGraph

Generate embeddings from large-scale graph-structured data.

XLM

PyTorch original implementation of Cross-lingual Language Model Pretraining.

deepvoice3_pytorch

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

eda_nlp

Data augmentation for NLP, presented at EMNLP 2019

CLUENER2020

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

pytorch-widedeep

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

PPLM

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

MASS

MASS: Masked Sequence to Sequence Pre-training for Language Generation

transform

Input pipeline framework

self-attentive-parser

High-accuracy NLP parser with models for 11 languages.

adapter-bert

structural-probes

Codebase for testing whether hidden states of neural networks encode discrete structures.

Tree-Transformer

Implementation of the paper Tree Transformer

Docker_Tutorial

Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"

CGMH

Codes for <CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling>

Distinct-N

Compute Distinct-N metric proposed by Jiwei Li et al.

syntactic-template-generation

Code for "Controllable Paraphrase Generation with a Syntactic Exemplar" (ACL 2019)

DiPS

NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation

LM_syneval

Code for replicating the work in "Targeted Syntactic Evaluation of Language Models." EMNLP 2018.

Seq2Sick

Adversarial examples for Seq2Seq model in NLP