Pinned Repositories
adversarial-robustness-toolbox
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers.
amazon_puzzles
Amazon 2013 challenges in Python
aubergeDuMonstre
study on a solution of Home Energy Management and Domotic
Dada
source code of AISTATS 2020 paper: Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
DAGuerreotype
source code of the paper: DAG LEARNING ON THE PERMUTAHEDRON
dirichlet-margin-bound
Code source of "On Margins and Generalisation for Voting Classifiers" NeurIPS 2022 paper https://arxiv.org/abs/2206.04607
L3SVMs
new Machine Learning approach for classification, based on local SVMs
LatentTrees
Code source of Learning Binary Trees by Argmin Differentiation.
multiviewLSVM
StocMV
source code of NeurIPS 2021 paper: "Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound"
vzantedeschi's Repositories
vzantedeschi/LatentTrees
Code source of Learning Binary Trees by Argmin Differentiation.
vzantedeschi/Dada
source code of AISTATS 2020 paper: Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
vzantedeschi/DAGuerreotype
source code of the paper: DAG LEARNING ON THE PERMUTAHEDRON
vzantedeschi/StocMV
source code of NeurIPS 2021 paper: "Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound"
vzantedeschi/L3SVMs
new Machine Learning approach for classification, based on local SVMs
vzantedeschi/dirichlet-margin-bound
Code source of "On Margins and Generalisation for Voting Classifiers" NeurIPS 2022 paper https://arxiv.org/abs/2206.04607
vzantedeschi/multiviewLSVM
vzantedeschi/adversarial-robustness-toolbox
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers.
vzantedeschi/amazon_puzzles
Amazon 2013 challenges in Python
vzantedeschi/aubergeDuMonstre
study on a solution of Home Energy Management and Domotic
vzantedeschi/autism
Data Challenge on Autism Spectrum Disorder detection
vzantedeschi/c2lm
vzantedeschi/calculate-flops.pytorch
The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
vzantedeschi/CUMULO
a benchmark dataset for training and evaluating global cloud classification models.
vzantedeschi/fine-classification
vzantedeschi/gittest
Testing github!
vzantedeschi/GPflow
Gaussian processes in TensorFlow
vzantedeschi/GPflowOpt
Bayesian Optimization using GPflow
vzantedeschi/graal
XML processor
vzantedeschi/playing-with-dl
vzantedeschi/pyoptree
Python Implementation of Bertsimas's "Optimal classification trees".
vzantedeschi/texts_classification
python scripts implementing different algorithms for text documents classification