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adem

TOWARDS AN AUTOMATIC TURING TEST: LEARNING TO EVALUATE DIALOGUE RESPONSES

aho-corasick

Aho-Corasick的Java实现，针对Ascii优化，支持Unicode。

bert

TensorFlow code and pre-trained models for BERT

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

blocks

A Theano framework for building and training neural networks

book

Deep Learning 101 with PaddlePaddle

char-rnn-tensorflow

Multi-language Char RNN for TensorFlow >= 1.2.

chenjin_git

chinesecodinginterviewappendix

The source code for the appendix part of the Chinese version of the book Coding Interviews

cplusplus-concurrency-in-practice

A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》

deeplearningtutorial

Deep learning tutorial in Chinese/深度学习教程中文版

fastai

The fastai deep learning library, plus lessons and and tutorials

gperftools

Main gperftools repository

jd_spider

京东爬虫 和 评论清洗及指标提取

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

machinelearning

Machine Learning in Action（机器学习实战）

machinelearning-1

My blogs and code for machine learning. http://cnblogs.com/pinard

models

Models and examples built with TensorFlow

multitimer

一个多定时器

nlp-paper

自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

nmt

TensorFlow Neural Machine Translation Tutorial

pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

protobuf

Protocol Buffers - Google's data interchange format

pyahocorasick

Python module (C extension and plain python) implementing Aho-Corasick algorithm

rnn-nlu

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

tensorflow

Computation using data flow graphs for scalable machine learning

text-classification-cnn-rnn

CNN-RNN中文文本分类，基于tensorflow

word2vec

Automatically exported from code.google.com/p/word2vec

word2vec-1

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.

xlm

PyTorch original implementation of Cross-lingual Language Model Pretraining.