facebookresearch / TorchRayLinks
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
☆347Updated 5 years ago
Alternatives and similar repositories for TorchRay
Users that are interested in TorchRay are comparing it to the libraries listed below
Sorting:
- Pretrained bag-of-local-features neural networks☆313Updated 6 years ago
- ☆352Updated 5 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆304Updated 4 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆519Updated 3 months ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆587Updated 3 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆218Updated 6 years ago
- Full-gradient saliency maps☆212Updated 2 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆805Updated 2 years ago
- A new test set for ImageNet☆256Updated 2 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆252Updated 4 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆401Updated 5 years ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆379Updated 3 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆342Updated 5 years ago
- ☆182Updated 2 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆538Updated 3 years ago
- Standardizing weights to accelerate micro-batch training☆550Updated 3 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆988Updated 4 months ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 years ago
- ☆520Updated last year
- A PyTorch converter for SimCLR checkpoints☆108Updated 4 years ago
- A script that applies the AdaIN style transfer method to arbitrary datasets☆161Updated 4 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆544Updated 3 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 6 years ago
- SmoothGrad implementation in PyTorch☆172Updated 4 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆267Updated 4 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆544Updated last year
- ☆334Updated 2 months ago
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]☆185Updated 6 years ago
- Batch equivalent of PyTorch Transforms.☆39Updated 3 years ago