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Name: Data Science
Type: Organization
Name: Data Science
Type: Organization
A Little Book of Python for Multivariate Analysis
Code to accompany Advanced Analytics with Spark from O'Reilly Media
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
A repository with IPython notebooks of algorithms implemented in Python.
A simple demonstration of sub-sequence sampling as used for anomaly detection with EKG signals
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
A curated list of awesome Machine Learning frameworks, libraries and software.
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
Random Forest - a curated list of resources regarding random forest
Recurrent Neural Network - A curated list of resources dedicated to RNN
Code to setup AWS GPU instance to run Daniel Nouri's Facial Keypoints competition
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.
Create Blogs and Websites with R Markdown
Authoring Books and Technical Documents with R Markdown
A minimal book example using bookdown
Caffe fork that supports Fast R-CNN
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now Val_acc>99.5%.
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
A captcha library that generates audio and image CAPTCHAs.
Breaking captchas using torch
验证码识别
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Essential Cheat Sheets for deep learning and machine learning researchers
Benchmarks for popular CNN models
This repo contains some R learning activities we created for the course I for the ColumbiaX series on Data Science and Analytics on edX.
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.