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cozplay-demos

Prototypes developed by ETC team Cozplay using the Python SDK for Cozmo robot

ctr-criteo

kaggle 2014 criteo ctr竞赛方案整理 https://www.kaggle.com/c/criteo-display-ad-challenge

ctr_pipeline

通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线

ctrip14

科赛 携程出行产品未来14个月销量预测 第2名

ctrmodel

CTR prediction model based on spark(LR, GBDT, DNN)

cvpr16_deblur_study

A Comparative Study for Single Image Blind Deblurring (CVPR 2016)

da1224

数据分析案例(爬虫+分析)

dask-searchcv

Tools for performing hyperparameter search with Scikit-Learn and Dask

data-mining-group

data-science--cheat-sheet

Cheat Sheets

data-science-ipython-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.

data-science-notes

数据科学的笔记以及资料搜集

datacastle-360

datacastle 金融预测大赛 线上第六

datacastle-urban-governance-competition

datacastle_subsidy

Datacastle助学金精准预测冠军代码

datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

datascicomp

A collection of popular Data Science Competitions

datecastle

图像识别与推荐系统两类

deep-ensembles-uncertainty

My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deep_learning

Basic Deep Learning

deep_matrix_factorization_models

Implementation of the "Deep Matrix Factorization Models for Recommender Systems"

deepctr

This project contains several DNN models for for pCTR/pCVR ,item recommendation.

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepfm_with_pytorch

A PyTorch implementation of DeepFM for CTR prediction problem.

deeplearning

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

deepqa

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