Projects in Awesome Lists by EIDOSLAB
A curated list of projects in awesome lists by EIDOSLAB .
https://github.com/eidoslab/torchstain
Stain normalization tools for histological analysis and computational pathology
computational-pathology digital-pathology histopathology medical-imaging numpy python pytorch stain-normalization tensorflow
Last synced: 24 Jun 2025
https://github.com/EIDOSLAB/torchstain
Stain normalization tools for histological analysis and computational pathology
computational-pathology digital-pathology histopathology medical-imaging numpy python pytorch stain-normalization tensorflow
Last synced: 06 May 2025
https://github.com/eidoslab/simplify
Simplification of pruned models for accelerated inference | SoftwareX https://doi.org/10.1016/j.softx.2021.100907
deep-learning optimization pruning
Last synced: 24 Jun 2025
https://github.com/eidoslab/unitopatho
Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.2021.9506198
cancer data health histopathological-image histopathology histopathology-images medical-image-processing medical-images neural-networks
Last synced: 12 Aug 2025
https://github.com/EIDOSLAB/UNITOPATHO
Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.2021.9506198
cancer data health histopathological-image histopathology histopathology-images medical-image-processing medical-images neural-networks
Last synced: 06 May 2025
https://github.com/eidoslab/entangling-disentangling-bias
EnD: Entangling and Disentangling deep representations for bias correction | CVPR21 https://doi.org/10.1109/CVPR46437.2021.01330
Last synced: 24 Jun 2025
https://github.com/eidoslab/unbiased-contrastive-learning
Code for the paper "Unbiased Supervised Contrastive Learning" | ICLR 2023 https://openreview.net/forum?id=Ph5cJSfD2XN
contrastive-learning debiasing deep-learning fairness representation-learning
Last synced: 24 Jun 2025
https://github.com/eidoslab/contrastive-brain-age-prediction
Code for the paper "Contrastive learning for regression in multi-site brain age prediction" | ISBI 2023 https://doi.org/10.1109/ISBI53787.2023.10230733
age-estimation age-regression brain-mri contrastive-learning neuroimaging regression
Last synced: 24 Jun 2025
https://github.com/eidoslab/swarm-cpupin
Automatic CPU pinning for docker swarm based GPU HPC cluster
cpu cpu-scheduling docker pinning swarm
Last synced: 08 Aug 2025
https://github.com/eidoslab/unveiling-covid19-from-cxr
Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data | IJERPH https://doi.org/10.3390/ijerph17186933
Last synced: 12 Oct 2025
https://github.com/eidoslab/efficient-pic-with-variance-aware-masking
Official implementation of "Efficient Progressive Image Compression with Variance-aware Masking"
Last synced: 24 Jun 2025
https://github.com/eidoslab/lobster
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks | Neural Networks https://doi.org/10.1016/j.neunet.2021.11.029
Last synced: 24 Jun 2025
https://github.com/eidoslab/deep-learning-reading-group
Deep Learning Reading Group (DLRG) at Computer Science dept., Unito
Last synced: 24 Jun 2025
https://github.com/eidoslab/towards-efficient-capsule-networks
capsule-networks deep-learning
Last synced: 24 Jun 2025
https://github.com/eidoslab/neq
Official implementation for "To update or not to update? Neurons at equilibrium in deep models"
Last synced: 07 Aug 2025
https://github.com/eidoslab/uc3-unitobrain
UC3-UNITOBrain, EDDL/ECV Implementation
Last synced: 24 Jun 2025
https://github.com/eidoslab/serene
Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks | TNN https://doi.org/10.1109/TNNLS.2021.3084527
Last synced: 13 Jul 2025
https://github.com/eidoslab/delving-in-the-loss-landscape-to-embed-robust-watermarks-into-neural-networks
Delving in the loss landscape to embed robust watermarks into neural networks | ICPR https://doi.org/10.1109/ICPR48806.2021.9413062
Last synced: 24 Jun 2025
https://github.com/eidoslab/ndr
A non-Discriminatory Approach to Ethical Deep Learning | TrustCom
Last synced: 28 Oct 2025
https://github.com/eidoslab/stanh
Pytorch implementation of StanH quantizer for variable rate coding
Last synced: 24 Jun 2025
https://github.com/eidoslab/neuralvelocity
NeVe - Neural Velocity for hyperparameter tuning (IJCNN 2025)
Last synced: 24 Jun 2025
https://github.com/eidoslab/kd_and_cac
CAC computation with knowledge distillation
Last synced: 24 Jun 2025
https://github.com/eidoslab/covid-two-step
Source code for the paper "A two-step radiologist-like approach for covid-19 computer-aided diagnosis from chest x-ray images." | ICIAP 2022
Last synced: 24 Jun 2025
https://github.com/eidoslab/federatedneve
FedNeVe - Efficient Federated Model Aggregation through Neural Velocity (MobiCom FLEDGE-AI Workshop 2025)
Last synced: 15 Sep 2025
https://github.com/eidoslab/uc2-unitopatho
DeepHealth EDDL/ECVL scripts for train and inference neural network on UniToPatho dataset
Last synced: 09 Oct 2025
https://github.com/eidoslab/pruning-validation
Test suite for pruned models
Last synced: 14 Oct 2025