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ctozlm's Projects

2015kddcup_mooc icon 2015kddcup_mooc

This is our code for KDDCup2015 on Predicting dropouts in MOOC - , and this code can easily get AUC 0.8589, and the finnal best score is 0.9091.

aerosolve icon aerosolve

A machine learning package built for humans.

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-matlab icon awesome-matlab

A curated list of awesome MATLAB toolboxes, applications, software and resources.

blocks icon blocks

A Theano framework for building and training neural networks

dato-core icon dato-core

The open source core of the GraphLab ML library

deepctr-torch icon deepctr-torch

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

deeplearning-500-questions icon 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18个章节,近30万字。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

faceswap icon faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

fuel icon fuel

A data pipeline framework for machine learning

kaggle-galaxies icon kaggle-galaxies

Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)

kaggle-tradeshift-winning-solution icon kaggle-tradeshift-winning-solution

This is the 1st place solution of a kaggle machine contest: Tradeshift Text Classification. http://www.kaggle.com/c/tradeshift-text-classification

kaggle-yelp-business-rating-prediction icon kaggle-yelp-business-rating-prediction

Code for Kaggle Contest "RecSys2013: Yelp Business Rating Prediction" -- Predicting Business Ratings on Yelp.com Using Machine Learning. My final submission scored an RMSE of 1.2307 which earned a rank of #7 out of ~250 teams. This a collection of code that is meant to be run from python console, it is not a stand-alone program

kaggle_higgs icon kaggle_higgs

My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)

kddcup15 icon kddcup15

KDD Cup 2015 - Predicting dropouts in MOOC

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