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nlp-competitions-list-review

复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！

nlp-models-tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems

nlp-tutorial

A list of NLP(Natural Language Processing) tutorials

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

opennre

An Open-Source Package for Neural Relation Extraction (NRE) implemented in TensorFlow

pj_nlp

该库是一个项目集，包括文本分类、多标签分类、细粒度情感分析、命名实体识别，以及部分数据集等

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

python

pytorch-chatbot

Pytorch seq2seq chatbot

pytorch-pretrained-bert

The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

pytorch-tutorial

Build your neural network easy and fast

qa

使用深度学习算法实现的中文问答系统

qamodel-for-retrievalchatbot

中文检索式问答，Chinese Retreival chatbot（中文检索式机器人）用到的一些QA模型，基于tf-idf，lsa，深度学习等

qasystemonmedicalkg

disease centered Medical knowledge graph and qa system。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

question-answering-system-for-retrieval

question-pairs-matching

第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案

smpcup2016

2nd Place Solution for SMP CUP 2016

task1

numpy

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow

test

我的项目

text_classification

all kinds of text classification models and more with deep learning

tf

thinking-in-java

Java编程**：1）一切皆对象。2）操作符。3）控制执行流程。4）初始化与清理。5）访问权限控制。6）复用类。7）多态。8）接口。9）内部类。10）持有对象。11）通过异常处理错误。12）字符串。13）类型信息。14）泛型。15）数组。16）容器深入研究。17）I/O系统。18）枚举类型。19）注解。20）并发。21）图形化用户界面。

tpu

Reference models and tools for Cloud TPUs.

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

tutorials

机器学习相关教程

x-ray-classification

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

yanyiting.github.io

Leetcode

zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.