jacobgil / pytorch-explain-black-boxLinks
PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
☆338Updated 3 years ago
Alternatives and similar repositories for pytorch-explain-black-box
Users that are interested in pytorch-explain-black-box are comparing it to the libraries listed below
Sorting:
- SmoothGrad implementation in PyTorch☆171Updated 4 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.☆448Updated 6 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆217Updated 6 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆118Updated 7 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 6 years ago
- Pretrained bag-of-local-features neural networks☆313Updated 5 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆347Updated 4 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- ☆226Updated 4 years ago
- ☆351Updated 5 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 7 years ago
- Wide Residual Networks (WideResNets) in PyTorch☆341Updated 4 years ago
- A drop-in replacement for CIFAR-10.☆242Updated 4 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆131Updated 7 years ago
- This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CV…☆151Updated 7 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆189Updated 8 years ago
- i-RevNet Pytorch Code☆392Updated 4 years ago
- visualization of CNN in PyTorch☆155Updated last year
- Transfer Learning Shootout for PyTorch's model zoo (torchvision)☆169Updated 4 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆275Updated 7 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆170Updated 7 years ago
- Visualizing how deep networks make decisions☆66Updated 6 years ago
- Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"☆120Updated 6 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆201Updated last year
- Robust loss functions for deep neural networks (CVPR 2017)☆91Updated 5 years ago