giacomodeodato / vinnLinks
A pytorch module to implement Bayesian neural networks with variational inference
☆11Updated 4 years ago
Alternatives and similar repositories for vinn
Users that are interested in vinn are comparing it to the libraries listed below
Sorting:
- Joint Modelling Histology and Molecular Markers for Glioma Classification☆12Updated 8 months ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 7 years ago
- ☆19Updated 4 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆58Updated 7 years ago
- Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning - UAI 2021☆23Updated last year
- A PyTorch implementation of the Variational approach for PU learning☆32Updated 5 years ago
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆26Updated 5 years ago
- Comparing CNN+Softmax with CNN+SVM on CIFAR 10 Dataset☆14Updated 7 years ago
- ☆19Updated 5 years ago
- Official repository for ACCV 2020 paper 'Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance'☆19Updated 4 years ago
- Energy-based Out-of-distribution Detection☆17Updated 5 years ago
- Semi-supervised learning tutorial in pytorch (pseudio label, Pi model, mean teacher, FixMatch, UDA)☆15Updated 4 years ago
- Early sepsis detection w/ multitask gaussian process neural network☆15Updated 6 years ago
- Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis☆16Updated 3 years ago
- Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"☆29Updated 3 years ago
- Visual Explanation using Uncertainty based Class Activation Maps☆23Updated 6 years ago
- ☆14Updated 4 years ago
- This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…☆59Updated 7 years ago
- Robust Domain Adaptation under Noisy Environments☆18Updated 3 years ago
- Released code for the paper 'End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma'☆10Updated 4 years ago
- A straightforward mechanism to implement cost sensitive losses in pytorch☆47Updated 3 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- Code repository for the 2023 MICCAI Paper "TabAttention: Learning Attention Conditionally on Tabular Data"☆18Updated 2 years ago
- [NeurIPS 2025] Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling☆24Updated last month
- Implemented ABSGD Algorithm in the Paper https://arxiv.org/abs/2012.06951☆11Updated 2 years ago
- Information Bottleneck Approach to Spatial Attention Learning, IJCAI2021☆15Updated 4 years ago
- [MICCAI 2023, top 14%] Official repository of paper: Distilling BlackBox to Interpretable models for Efficient Transfer Learning☆18Updated 6 months ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Updated 5 years ago
- The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)☆19Updated 4 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆42Updated 2 years ago