GabPrato / batch-transforms
Batch equivalent of PyTorch Transforms.
☆38Updated 3 years ago
Alternatives and similar repositories for batch-transforms:
Users that are interested in batch-transforms are comparing it to the libraries listed below
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆238Updated 3 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 4 years ago
- A script that applies the AdaIN style transfer method to arbitrary datasets☆157Updated 3 years ago
- [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data☆111Updated 4 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆160Updated 4 years ago
- ☆140Updated 4 years ago
- A PyTorch converter for SimCLR checkpoints☆107Updated 4 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆509Updated 6 months ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆401Updated 4 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆217Updated 5 years ago
- SmoothGrad implementation in PyTorch☆171Updated 3 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆128Updated 5 years ago
- A drop-in replacement for CIFAR-10.☆237Updated 3 years ago
- ☆314Updated 10 months ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆299Updated 4 years ago
- A new test set for ImageNet☆245Updated last year
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆182Updated 5 years ago
- Real-time image saliency 🌠 (NIPS 2017)☆125Updated 6 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆259Updated 3 years ago
- ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale☆209Updated 2 years ago
- PyTorch dataset for CUB-200-2011☆55Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆585Updated 3 years ago
- ☆351Updated 4 years ago
- Full-gradient saliency maps☆207Updated last year
- ☆180Updated last year
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆178Updated 4 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆333Updated 3 years ago