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100 Days of ML Coding
100+ python programming exercise problem discussed ,explained and solved in different ways
Anomaly detection related books, papers, videos, and toolboxes
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
RStudio Cheat Sheets
This repository contains Java projects which accompany the videos for Control and Data Flow in SoftConst1x: Data Abstraction
This repository contains the solutions for Control and Data Flow in SoftConst1x: Data Abstraction
Deep Learning Part 1
This is the 2nd part of the Deep Learning Series
This is the 3rd part of the DeepLearning series
Repository for data science book
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
This repository contains Java projects which accompany the videos for Extracting Object Oriented Design in UBCx SoftConst2x: Object Oriented Design
Multi-core implementation of Regularized Greedy Forest
Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
This repository contains practice problems for Implementing Object-Oriented Design in UBCx SoftConst2x: Object Oriented Design
This repository contains Java projects which accompany the videos for Intro to Software Construction in SoftConst1x: Data Abstraction
This repository contains practice projects for Introduction to Software Construction in SoftConst1x: Data Abstraction
A fast, distributed, high performance gradient boosting (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.
This repository contains solutions for the long-form-practice projects for UBCx SoftConst2x: Object Oriented Design
This repository contains the starter projects for the long-form-practice projects for UBCx SoftConst2x: Object Oriented Design
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout the training process
Open Machine Learning Course
Code samples for my book "Neural Networks and Deep Learning"
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.