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Name: Christophe Bourgoin
Type: User
Location: Montpellier, France
Blog: https://www.linkedin.com/in/christophe-bourgoin-ph-d-280b66/
Name: Christophe Bourgoin
Type: User
Location: Montpellier, France
Blog: https://www.linkedin.com/in/christophe-bourgoin-ph-d-280b66/
A curated list of awesome big data frameworks, ressources and other awesomeness.
A curated list of awesome Machine Learning frameworks, libraries and software.
Code for my book on Multi-Armed Bandit Algorithms
NumPy and Pandas interface to Big Data
Interactive Web Plotting for Python
Programming with Python for Data Science Microsoft
Hadoop library for large-scale data processing, now an Apache Incubator project
Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.
This repository contains my various projects from Udacity's Deep learning foundations nanodegree
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Auto-generated documentation builds from the networkx/networkx/doc Sphinx sources.
A web front end for an elastic search cluster
MongoDB River Plugin for ElasticSearch
Fast Style Transfer in TensorFlow ⚡🖥🎨🖼
python scripts for the 'filrouge' project
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge
Prize winning solution to the SeeClickFix contest hosted on Kaggle, developed by teammates Bryan Gregory and Miroslaw Horbal. The purpose of the contest was to train a model (as scored by RMSLE) using supervised learning that will accurately predict the views, votes, and comments that an issue posted to the www.seeclickfix.com website will receive. My teammate and I used this ensemble code base to combine our top ranked individual models to create a prize-winning solution, defeating >500 other teams and winning a prize of $1,000.
Just some of my kaggle scripts
Code for Kaggle Data Science Competitions
A pure python implementation of locality sensitive hashing for text documents
Implementation of Tyler Neylon's Locality-Specific Hash based on simplex tesselations
LSH based high dimensional clustering for sets and points
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Welcome to the repo of my Capstone project that I carried out as part of my Machine Learning Engineer Nanodegree at Udacity
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.