ctozlm Goto Github PK
Type: User
Company: UC Berkeley
Type: User
Company: UC Berkeley
100 Days of ML Coding
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.
A machine learning package built for humans.
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
Amazon Employee Access Challenge
Awesome Knowledge Distillation
A curated list of awesome MATLAB toolboxes, applications, software and resources.
A Theano framework for building and training neural networks
The open source core of the GraphLab ML library
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Evaluation of Deep Learning Frameworks
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
Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
Non official project based on original /r/Deepfakes thread. Many thanks to him!
Fast and memory-efficient exact attention
A data pipeline framework for machine learning
Hubitat Environment Developments
Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)
This is the 1st place solution of a kaggle machine contest: Tradeshift Text Classification. http://www.kaggle.com/c/tradeshift-text-classification
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
My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)
Kaggle Submission for "Detecting Insults in Social Commentary"
code for kaggle competition Microsoft malware classification
kdd cup 2015
Kaggle KDD Challenge, Track 2
KDD Cup 2015 - Predicting dropouts in MOOC
KDD Cup 2015 - Predicting dropouts in MOOC
KDD Cup 2015 code
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.