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2018-tencent-ad-competition-baseline

2018腾讯广告算法大赛baseline 线上0.73

ant-design

🌈 A UI Design Language and React UI library

automobile-sale-predict

天池-乘用车零售量预测代码

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

categorical-encoding

A library of sklearn compatible categorical variable encoders

competition-baseline

数据科学竞赛各种baseline代码、思路分享

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

data_mining_models

Basic data mining model, including feature importance display

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)

deepgbm

Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.

deeplearning

深度学习相关的模型训练、评估和预测相关代码

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

eges

eli5

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

facets

Visualizations for machine learning datasets

fm_python

implement fm demo with python

gnes

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

ijcai-18-top2-single-mole-solution

复赛第二名单模型方案，没有特征选择没有调参LGB单模型857个特征

jstarcraft-tutorial

一套涵盖核心编程, 人工智能, 云, 推荐与搜索领域的Java轻量级框架.

jupyterlab-toc

Table of Contents extension for JupyterLab

kaggle-avazu

2nd place solution for Avazu click-through rate prediction competition

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

learngit

learningpyspark

Code base for the Learning PySpark book (in preparation)

leetcode

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

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.

machinelearningtrick

Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest

notebook

Jupyter Interactive Notebook

ppd-modeling-competition

拍拍贷"魔镜杯"风控算法比赛实战