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bert-pytorch

Google AI 2018 BERT pytorch implementation

bitdm.github.io

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

dcnmt

Deep Character-Level Neural Machine Translation

emotional_classification_with_rnn

基于循环神经网络(RNN)的影评情感分类

encoder2predict

利用Encoder对二分类任务的序列数据进行概率预测

gpt2-chinese

Chinese version of GPT2 training code, using BERT tokenizer.

models

Models built with TensorFlow

namas

Neural Attention Model for Abstractive Summarization

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

smartinvest

Smart Investing Examples

speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow_practice

推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/

textrank

Python implementation of TextRank algorithm (https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf) for automatic keyword extraction and summarization using Levenshtein distance as relation between text units.

transformer

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

word2vec_numpy

Word2Vec implementation using numpy