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Name: Dmitri Kochubei
Type: User
Name: Dmitri Kochubei
Type: User
Lab for Linear and Logistic Regression, SciKit Learn
An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
Traditional Machine Learning and Deeplearning using Pytorch
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Learn how to use PyTorch to solve some common NLP problems with deep learning.
Simple PyTorch Tutorials Zero to ALL!
All_the_projects_required_by_Springboard_DS
TensorFlow Tutorials with YouTube Videos
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.