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ctr_algorithm

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM，xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,DIN, DIEN ... （pytorch, tf2.0）

ctr_nn

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

cube-studio

云原生一站式机器学习平台，多租户，数据资产，notebook在线开发，拖拉拽任务流编排，多机多卡分布式训练，超参搜索，推理服务，多集群调度，多项目组资源组，边缘计算，大模型实时训练, ai应用商店

customer_churn_prediction

零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结

cw2vec

基于字符训练词向量

cw2vec-1

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

cws_evaluation

Java开源项目cws_evaluation：中文分词器分词效果评估对比

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

cyclegan-1

Tensorflow implementation of CycleGANs

cyclegan-tensorflow

An implementation of CycleGan using TensorFlow

cyclegan-vc2

Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

d2l-1day-zh

D2L 1-day crash course in Chinese

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。

dailymenu

每日菜单，写给女票的，让她可以不用费心想每天做什么菜，系统随机按类别选择。提供上传csv格式的数据。

danbooru-pretrained

Pretrained pytorch models for the Danbooru2018 dataset

danbooru-utility

Utility for working with danbooru2018 dataset

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

datacastle-solution

1st Place Solution for DataCastle-CashBus Competition

dataminingalgorithm

数据挖掘18大算法实现以及其他相关经典DM算法

dataset-examples

Samples for users of the Yelp Academic Dataset

day12-face-detection

OpenCV Java example

dbproxy

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

dcgan_tensorflow

通过DCGAN生成动漫人物头像

decision

Powered by Spark Streaming & Siddhi

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-exemplar-based-colorization

The source code of "Deep Exemplar-based Colorization".

deep-image-analogy

The source code of 'Visual Attribute Transfer through Deep Image Analogy'.

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-with-cats

Deep learning with cats (^._.^)