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Name: Thomas Uriot
Type: User
Bio: Oxford University Statistics graduate NCIA, The Hague
Location: The Hague
Name: Thomas Uriot
Type: User
Bio: Oxford University Statistics graduate NCIA, The Hague
Location: The Hague
implementation of neural network for adialab competition
Code for the KDD 2019 workshop paper. Attention mechanism for distribution regression.
Functions for the BBOB 2009 optimization challenge (https://coco.gforge.inria.fr/).
code for GECCO 2022 paper: "On genetic programming representations and fitness functions for interpretable dimensionality reduction"
automatically fetch value stocks and stocks with unusual option activity (pareto front of iv skew and vrp)
code for the KDD 2019 workshop paper https://arxiv.org/abs/1904.10583. Kernel mean embedding for distribution regression.
Codebase for machine learning research in PyTorch.
Code base for the morphing rovers challenge from the European Space Agency
Predicting continuous conflict intensity from visual video data.
Code for the Neurips 2021 competition (https://openproblems.bio/neurips_2021/)
research on neural network for tabular data
Transferring neurons/filters from one neural network to another, in a transfer learning setting. (research project currently ongoing)
Implementation of several neural network pruning techniques (magnitude value weight, magnitude gradient weight, movement gradient/value, and at neuron level)
few examples with different ways to do parallelization in python
European Space Agency's planetary protection challenge (https://kelvins.esa.int/planetary-defence/)
Multi-objective Genetic Programming by NSGA-II in Python
code for the GECCO 2020 paper (https://dl.acm.org/doi/abs/10.1145/3377930.3390197)
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
Collection of completed statistical project and analysis
Implementation of the basic transformer head for multiple-instance-regression (MIR)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
code for the Ubiquant market prediction Kaggle competition. Top 1% rank: 20th out of 2893 teams.
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.