kilianfatras Goto Github PK
Name: Kilian
Type: User
Company: @DreamFold
Bio: Deep learning research scientist
Twitter: FatrasKilian
Location: Montréal
Name: Kilian
Type: User
Company: @DreamFold
Bio: Deep learning research scientist
Twitter: FatrasKilian
Location: Montréal
Adversarial Reweighted WGAN
A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.
BenchmarkPDA is a Pytorch framework that contains dataset and algorithms for partial domain adaptation.
IN204 ENSTA Project, we have to code a comic book reader, we chose to use JAVA language for this project with Guillaume Le Roy
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport
Artificial Intelligence that plays Draughts game (also known as checkers)
We want to find a string with a genetic algorithm.
Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
Generation of hand digit numbers with GANs and autoencoders in PyTorch
Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
Famous machine learning algorithm
A light and simple LaTeX template for the PhD manuscript of MathSTIC doctoral school.
Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
This is a times series R project. The purpose is to study the oil price evolution since 1990.
Python Optimal Transport library
Here you can find a project from my course : 'parallel programming'. I have to paralize a ray tracer program with the MPI library and Open MP library.
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
Famous recommender systems algorithm.
From a email database, we want to filter the spam email
implementation of the paper "Stochastic Optimization for Large-scale Optimal Transport" (https://arxiv.org/pdf/1605.08527.pdf).
Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)
Proceedings of AISTATS 2020
Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
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.