Pinned Repositories
torchjd
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
AddressBook
Address Book sample application (Level 4)
biobankAccelerometerAnalysis
Extracting meaningful health information from large accelerometer datasets
Browser-19
Repository for the hackathon CodeVsCovid19
Covid19_Papers
This repository contains the website for the CodeVsCovid19 hackathon project about covid19 research papers
Covid19_Papers_V2
fed_iot_guard
Detection of IoT devices infected by malwares from their network communications, using federated machine learning
hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
jde
Deep learning experiments with Jacobian descent
secprint
ValerianRey's Repositories
ValerianRey/fed_iot_guard
Detection of IoT devices infected by malwares from their network communications, using federated machine learning
ValerianRey/Browser-19
Repository for the hackathon CodeVsCovid19
ValerianRey/secprint
ValerianRey/jde
Deep learning experiments with Jacobian descent
ValerianRey/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
ValerianRey/AddressBook
Address Book sample application (Level 4)
ValerianRey/biobankAccelerometerAnalysis
Extracting meaningful health information from large accelerometer datasets
ValerianRey/Covid19_Papers
This repository contains the website for the CodeVsCovid19 hackathon project about covid19 research papers
ValerianRey/Covid19_Papers_V2
ValerianRey/federated_learning_attack
Super short project showing a potential attack against federated learning.
ValerianRey/Fibonacci
ValerianRey/Graph_Visualization
Github pages repo
ValerianRey/IDS_dataset_exploration
Exploration of many IoT Intrusion Detection System datasets.
ValerianRey/LSTM
Just a few experiments to understand LSTMs (or other RNNs) better
ValerianRey/metrics
Machine learning metrics for distributed, scalable PyTorch applications.
ValerianRey/ML_course
EPFL Machine Learning Course, Fall 2021
ValerianRey/ntds_2019
Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
ValerianRey/pixray
ValerianRey/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ValerianRey/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
ValerianRey/satellite
Mini-Project to apply classification on satellite images
ValerianRey/snscrape
A social networking service scraper in Python
ValerianRey/ssl-wearables
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
ValerianRey/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.