Pinned Repositories
hebbian-skin-cancer-segmentation
ElderlyActivityRecognition
hebbdemo
Demo code showcasing Hebbian learning algorithms for Convolutional Neural Networks.
HebbGen
End-to-end Hebbian training of generative models with encoding-decoding architectures.
HebbianLearning
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
HebbianLearningThesis
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
HebbianPCA
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
HebbSeg
Image segmentation experiments with bio-inspired and deep learning methods
MedAssistant
This is a toy Web application written in Flask, featuring a Medical Assistant Chatbot powered by Large Language Models (LLMs) and Retrieval Augmented Generation (RAG).
SpikingGrid
Spiking neural network simulator which allows to simulate neuronal cultures placed over Multi-Electrode Arrays (MEAs).
GabrieleLagani's Repositories
GabrieleLagani/HebbianLearningThesis
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
GabrieleLagani/HebbianLearning
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
GabrieleLagani/HebbianPCA
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
GabrieleLagani/ElderlyActivityRecognition
GabrieleLagani/HebbSeg
Image segmentation experiments with bio-inspired and deep learning methods
GabrieleLagani/MedAssistant
This is a toy Web application written in Flask, featuring a Medical Assistant Chatbot powered by Large Language Models (LLMs) and Retrieval Augmented Generation (RAG).
GabrieleLagani/SpikingGrid
Spiking neural network simulator which allows to simulate neuronal cultures placed over Multi-Electrode Arrays (MEAs).
GabrieleLagani/hebbdemo
Demo code showcasing Hebbian learning algorithms for Convolutional Neural Networks.
GabrieleLagani/HebbGen
End-to-end Hebbian training of generative models with encoding-decoding architectures.