williamwhe Goto Github PK

chinese-programmer-wrong-pronunciation

**程序员容易发音错误的单词

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

cim

Implementaion of the WWW paper Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cnn_sentence

CNNs for sentence classification

co-action-network

Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

collaborative-filtering

Implemented Item, User and Hybrid based Collaborative Filtering

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

cortex_opendata

High quality open source dataset.

cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

ct4rec

ctex

The latex configure for Linux using ctex

ctr_prediction

CTR prediction using FM FFM and DeepFM

decisiontree

Python Implementation of ID3

deep-and-cross-keras

Keras Implementation for "Deep & Cross Network for Ad Click Predictions"

deep-cross-tensorflow

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-interest-network

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-semantic-similarity-model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

deep-text-corrector

Deep learning models trained to correct input errors in short, message-like text

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

deepinterestnetwork

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.