elelo22
PhD Candidate in ICT at ISPAMM Lab, Sapienza University of Rome, Engineer in Computer Science.
Sapienza University of RomeRoma
elelo22's Stars
prajwalsingh/EEGStyleGAN-ADA
Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]
RomGai/BrainVis
Official code repository for the paper: "BrainVis: Exploring the Bridge between Brain and Visual Signals via Image Reconstruction"
ispamm/DM4ASC
Diffusion Models for Audio Semantic Communication
ispamm/NAF-DPM
NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement
LuigiSigillo/ShipinSight
Official PyTorch repository for Ship in Sight: Diffusion Models for Ship-Image Super Resolution, WCCI 2024.
MohamedAfham/CrossPoint
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
theabrusch/Multiview_TS_SSL
ispamm/PHYDI
Official PyTorch repository of "PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functions"
ispamm/GESCO
Offcial PyTorch repository for the paper "Generative Semantic Communication: Diffusion Models Beyond Bit Recovery"
LuigiSigillo/StawGAN
l3das/L3DAS23
Official repository supporting the L3DAS23 IEEE ICASSP Grand Challenge
EvelynFan/AWESOME-MER
🔆 📝 A reading list focused on Multimodal Emotion Recognition (MER) 👂👄 👀 💬
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
nyukat/breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
sveinnpalsson/semivaebrats
Semi-supervised variational autoencoder for survival prediction
gaetandi/cheXpert
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
ispamm/HI2I
Official PyTorch repository for Hypercomplex Image-to-Image Transaltion
eleGAN23/HyperNets
Hypercomplex Neural Networks with PyTorch