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Repository for the Intro to Machine Learning course - ETH Zurich Spring 2018
Summary for Introduction to machine learning at ETH Zürich (2019)
Repository of course ressources for Introduction to Machine Learning @ ETH Zurich
Learning and Intelligent Systems, ETH Zürich
Lecture on a brief introduction of Optimal Transport for Machine Learning
Project repository for project tasks in "Introduction to Machine Learning" at ETH Zurich
Business Maths 1 - Statistics Component
Implementation of Inexact Proximal point method for Optimal Transport
Computing a Markov Chain's Steady State Matrix
Optimal Transport Algorithms in ITK
A collection of IJulia notebooks related to optimization
Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
Random Forests implementation for Kaggle's Titanic competition.
LaTex source files of my PhD thesis. Matlab code will follow.
Keras implementations of Generative Adversarial Networks.
Slides for my talk on optimal transport for KG at KGC2021
K-dimensional Numerical Optimal Transport
Code for Measuring Generalization with Optimal Transport
Here are some computer labs I did during my studies at Télécom. This is mostly related to the Data Science and Image Processing tracks I took during the second year.
Report and code for Large Scale optimal transport project
Stochastic algorithms for computing Regularized Optimal Transport
Code for Valid Two-Sample Graph Testing via Optimal Transport Procrustes and Multiscale Graph Correlation: Applications in Connectomics
Latent optimal transport (LOT) for low rank transport and clustering
Custom LaTeX templates that I have used over the years, along with several useful ones that I have found online.
Open Content for self-directed learning in data science
Practice problems and snippets of code from books (Expert C Programming, K&R, etc)
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.