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Yuanyuan Zhang's Projects

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

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

datasci_course_materials icon datasci_course_materials

Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.

deepctr icon deepctr

DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layer which can be used to build your own custom model easily.

deeplearntoolbox icon 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.

deepqa icon deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

dgk_lost_conv icon dgk_lost_conv

dgk_lost_conv 中文对白语料 chinese conversation corpus

dify icon dify

One API for plugins and datasets, one interface for prompt engineering and visual operation, all for creating powerful AI applications.

diplomat icon diplomat

整合第三方 SDK 微信、微博、 QQ 等为统一的 Diplomat 接口。

distribute_crawler icon distribute_crawler

使用scrapy,redis, mongodb,graphite实现的一个分布式网络爬虫,底层存储mongodb集群,分布式使用redis实现,爬虫状态显示使用graphite实现

dl4nlp icon dl4nlp

Deep Learning for NLP resources

dmtk icon dmtk

Microsoft Distributed Machine Learning Tookit

dnn_ctr icon dnn_ctr

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

document2vec icon document2vec

Finding document vectors from pre-trained word2vec word vectors

doris icon doris

Apache Doris is an easy-to-use, high performance and unified analytics database.

eli5 icon eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

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