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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

bertsimilarity

Computing similarity of two sentences with google's BERT algorithm。利用Bert计算句子相似度。语义相似度计算。文本相似度计算。

chatbotcourse

自己动手做聊天机器人教程

chinese-stopwords

把网上能找到的所有停止词合了一下然后去了重得到1731个中文停止词

chinese_ancient_poetry

seq2seq attention tensorflow textrank context

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cnn-text-classification-tf-chinese

CNN for Chinese Text Classification in Tensorflow

ctr_prediction

CTR prediction using FM FFM and DeepFM

deep-ctr

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

deep-learning

深度学习实战

deep-learning-1

深度学习实战

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep_ctr

deepmodel

深度模型应用实践

doc2vec

the example of doc2vec to calculate the similarity of docs

easy-job

:fire::fire:2017互联网求职面试知识复习

examples-java

Stream Processing with Apache Flink - Java Examples

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

hands_on_ml_with_sklearn_and_tf

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南

hellobi

intelligent_risk_control

智能风控:原理、算法与工程实践 代码

jdata

京东JData算法大赛-高潜用户购买意向预测

kaggle-avazu

2nd place solution for Avazu click-through rate prediction competition

kerasnotebook

Keras 快速上手——基于 Python 的深度学习实战

keyword_extraction

利用Python实现中文文本关键词抽取，分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。

learningpyspark

Code base for the Learning PySpark book (in preparation)

leetcode

Leetcode solutions

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data