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Awesome machine learning deep learning libraries's Projects

d2l-zh icon d2l-zh

《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。

dask icon dask

Parallel computing with task scheduling

data-science-ipython-notebooks icon data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datacastle--- icon datacastle---

基于用户行为的推荐算法大赛---第四名(临兵斗列)

datawrapper icon datawrapper

An open source data visualization platform helping everyone to create simple, correct and embeddable charts in minutes.

datax icon datax

DataX 是阿里巴巴集团内被广泛使用的离线数据同步工具/平台,实现包括 MySQL、Oracle、HDFS、Hive、OceanBase、HBase、OTS、ODPS 等各种异构数据源之间高效的数据同步功能。

decanlp icon decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-ctr icon deep-ctr

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

deep-learning-book icon deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deepctr icon 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

deeplearning-500-questions icon 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18个章节,近30万字。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

deepnlp icon deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

discogan-pytorch icon discogan-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

dl-models-for-qa icon dl-models-for-qa

Keras DL models to answer 8th grade science multiple choice questions (Kaggle AllenAI competition).

dnn_ctr icon dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

dynet icon dynet

DyNet: The Dynamic Neural Network Toolkit

easy_seq2seq icon easy_seq2seq

[unmaintained] go to https://github.com/suriyadeepan/practical_seq2seq

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