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2019-ccf-bdci-car_sales

2019年CCF大数据与计算智能大赛乘用车细分市场销量预测冠军解决方案

adversarialnetspapers

The classical paper list with code about generative adversarial nets

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-residual-networks

Deep Residual Learning for Image Recognition

deepinterestnetwork

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

fineturn-alexnet-with-tensorflow

gan_tensorflow

introduce and implement by tensorflow

googlenet-inception

TensorFlow implementation of GoogLeNet and Inception for image classification.

kaggle

kaggle

kaggle_competition_treasure

Describe past Kaggle solutions

learningdl

三个月教你从零入门深度学习Tensorflow版配套代码

lenet-in-tensorflow

Implementation of the LeNet-5 deep neural network model in Tensorflow. https://www.youtube.com/watch?v=ixkpBmKRZDw

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

machinelearning

some real example of machine learn algorithm

machinelearning-1

Machine Learning in Action学习笔记，一个文件夹代表一个算法，每个文件夹包含算法所需的数据集、源码和图片，图片放在pic文件夹中，数据集放在在Data文件夹内。书中的代码是python2的，有不少错误，这里代码是我用python3写的，且都能直接运行

nlp_basis

这是我学习一个NLP教程【2019最新AI 自然语言处理之深度机器学习顶级项目实战课程】做的笔记与代码

pybma

Bayesian Model Averaging in python - currently only support for Cox PH models

tensorflow-vgg

VGG19 and VGG16 on Tensorflow

tensorflow_learn

share examples of tensorflow