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Intermediate and Advanced Software Carpentry tutorial material
How data science is woven into the fabric of Stitch Fix
A curated list of awesome Machine Learning frameworks, libraries and software.
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
Bayesian Python: Bayesian inference tools for Python
Source Code for the book Building Machine Learning Systems with Python
ChIP-seq analysis notes from Tommy Tang
Render some probabilistic graphical models using matplotlib
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A list of deep learning implementations in biology
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Deep Learning Tutorial notes and code. See the wiki for more info.
TensorFlow tutorials and best practices.
A complete computer science study plan to become a software engineer.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A library for creating and using probabilistic graphical models
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize.leastsq, and with many additional classes and methods for curve fitting
Basic Machine Learning and Deep Learning
Course repo for Natural Language Processing
Numpy exercises.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Python Library for Probabilistic Graphical Models
Probabilistic Modeling Toolkit for Matlab/Octave.
Fast, flexible and easy to use probabilistic modelling in Python.
NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)
An Indian Buffet Process implementation in Python.
Structured Machine Learning in Python
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
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.