Thomas Uriot's repositories
investment_analysis
automatically fetch value stocks and stocks with unusual option activity (pareto front of iv skew and vrp)
attention-mechanism_distribution-regression
Code for the KDD 2019 workshop paper. Attention mechanism for distribution regression.
GP-dimensionality-reduction
code for GECCO 2022 paper: "On genetic programming representations and fitness functions for interpretable dimensionality reduction"
kernel_mean_embedding_distribution-regression
code for the KDD 2019 workshop paper https://arxiv.org/abs/1904.10583. Kernel mean embedding for distribution regression.
Multi-task-learning
Predicting continuous conflict intensity from visual video data.
safe_crossover
code for the GECCO 2020 paper (https://dl.acm.org/doi/abs/10.1145/3377930.3390197)
ubiquant-kaggle-competition
code for the Ubiquant market prediction Kaggle competition. Top 1% rank: 20th out of 2893 teams.
neural_network_pruning
Implementation of several neural network pruning techniques (magnitude value weight, magnitude gradient weight, movement gradient/value, and at neuron level)
adialab-project-neural-models
implementation of neural network for adialab competition
ml-research
Codebase for machine learning research in PyTorch.
morphing-rovers-esa
Code base for the morphing rovers challenge from the European Space Agency
multimodal_single_cell_integration
Code for the Neurips 2021 competition (https://openproblems.bio/neurips_2021/)
neural-network-tabular
research on neural network for tabular data
neural_net_blending
Transferring neurons/filters from one neural network to another, in a transfer learning setting. (research project currently ongoing)
parallel_test
few examples with different ways to do parallelization in python
planetary_protection
European Space Agency's planetary protection challenge (https://kelvins.esa.int/planetary-defence/)
stanford-tensorflow-tutorials
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
statistical_projects
Collection of completed statistical project and analysis
trading
implementation of (dynamic) delta hedging using IBKR API
transformer-MIR
Implementation of the basic transformer head for multiple-instance-regression (MIR)
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.