Machine Learning Group - University of Turin

AJ-RNN

Tensorflow imeplementaion of AJ-RNN (Adversarial Joint-Learning Recurrent Neural Network ).

DeepWordLearning

fair-networks

federation_boosting

Code for the paper "Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent"

minerule

Minerule inductive database language implementation.

NNsTaxonomicResponding

A neural network model for taxonomic responding with realistic visual inputs

PartitionedLS

Implements the Partitioned Least Squares algorithms

py-partitioned-ls

Python implementation of algorithms for solving the Partitioned Least Squares problem

TensorFlowTutorial

Code developed during the Tensor Flow Tutorials held at the Computer Science Dpt. (Turin)

TrojanNN

Trojan Attack on Neural Network

ml-unito/federation_boosting

Code for the paper "Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent"

ml-unito/AJ-RNN

Tensorflow imeplementaion of AJ-RNN (Adversarial Joint-Learning Recurrent Neural Network ).

ml-unito/fair-networks

ml-unito/minerule

Minerule inductive database language implementation.

ml-unito/PartitionedLS

Implements the Partitioned Least Squares algorithms

ml-unito/DeepWordLearning

ml-unito/NNsTaxonomicResponding

A neural network model for taxonomic responding with realistic visual inputs

ml-unito/py-partitioned-ls

Python implementation of algorithms for solving the Partitioned Least Squares problem

ml-unito/TensorFlowTutorial

Code developed during the Tensor Flow Tutorials held at the Computer Science Dpt. (Turin)

ml-unito/TrojanNN

Trojan Attack on Neural Network

ml-unito/ai-deadlines

:alarm_clock: AI conference deadline countdowns

ml-unito/Checkpoint.jl

A minimal library to handle checkpoints during experiments

ml-unito/genepharm

ml-unito/Multi-class-unlabeled-learning

Repository for the paper IEEE Access: Dealing with Multi-Positive Unlabelled learning combining metric learning and deep clustering

ml-unito/PartitionedLS-experiments

A least squares model allowing to define blocks of features. It can help to make sense of the results.

ml-unito/PartitionedLS-experiments-2

Further experiments for the PartitionedLS implementation

ml-unito/SeqLearning

SeqLearning Objective C framework