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
- A script that applies the AdaIN style transfer method to arbitrary datasets☆159Updated 3 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆511Updated 7 months ago
- 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
- A new test set for ImageNet☆246Updated last year
- A PyTorch converter for SimCLR checkpoints☆109Updated 4 years ago
- ☆352Updated 5 years ago
- SmoothGrad implementation in PyTorch☆171Updated 3 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆585Updated 3 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆222Updated 4 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 5 years ago
- ☆140Updated 4 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…☆300Updated 4 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆401Updated 4 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆128Updated 5 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆160Updated 4 years ago
- A drop-in replacement for CIFAR-10.☆239Updated 3 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆216Updated 5 years ago
- ☆319Updated last week
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- ☆182Updated 2 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆536Updated 3 years ago
- [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data☆111Updated 4 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆340Updated 6 months ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆377Updated 2 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆261Updated 3 years ago
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]☆182Updated 5 years ago
- Understanding Training Dynamics of Deep ReLU Networks☆284Updated last month
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago