suinleelab / cxr_advLinks
Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"
☆19Updated 5 years ago
Alternatives and similar repositories for cxr_adv
Users that are interested in cxr_adv are comparing it to the libraries listed below
Sorting:
- ☆72Updated 5 years ago
- Starter code for the CellSignal NeurIPS 2019 competition.☆45Updated 4 months ago
- Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyT…☆223Updated 4 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow☆220Updated 4 years ago
- ☆61Updated 2 years ago
- A regular Tiramisu network for PyTorch with a LOT of extra features!☆42Updated 4 years ago
- PyTorch implementation of Deep Survival Models.☆18Updated 7 years ago
- Roto-reflection equivariant CNNs for Keras as presented in B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivar…☆86Updated 5 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 6 years ago
- Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow☆72Updated 8 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated last month
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆98Updated 7 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆18Updated 3 years ago
- Converting EfficientNet to Pytorch for use with fastai☆27Updated 6 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆69Updated 5 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated 2 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- ☆25Updated 3 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆28Updated 7 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆31Updated 6 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 2 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Code for the paper "Adversarial Attacks Against Medical Deep Learning Systems"☆67Updated 6 years ago
- MRI analysis using PyTorch and MedicalTorch☆65Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 6 years ago