google-research / reassessed-imagenet
Labels and other data for the paper "Are we done with ImageNet?"
☆190Updated 3 years ago
Alternatives and similar repositories for reassessed-imagenet:
Users that are interested in reassessed-imagenet are comparing it to the libraries listed below
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆93Updated 4 years ago
- Differentiable Data Augmentation Library☆123Updated 2 years ago
- A new test set for ImageNet☆248Updated last year
- Unofficial PyTorch Implementation of EvoNorm☆121Updated 3 years ago
- A PyTorch converter for SimCLR checkpoints☆109Updated 4 years ago
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆159Updated 4 years ago
- ☆140Updated 4 years ago
- Semi-supervised ImageNet1K models☆243Updated 5 years ago
- ☆401Updated 2 years ago
- ☆189Updated 4 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆263Updated 3 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆187Updated 11 months ago
- On Network Design Spaces for Visual Recognition☆94Updated 4 years ago
- ☆182Updated 2 years ago
- Code for "Are labels necessary for neural architecture search"☆92Updated last year
- The PASS dataset: pretrained models and how to get the data☆263Updated 2 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆86Updated 5 years ago
- [ECCV 2020] DADA: Differentiable Automatic Data Augmentation☆190Updated last year
- Understanding Training Dynamics of Deep ReLU Networks☆285Updated 2 months ago
- Train ImageNet *fast* in 500 lines of code with FFCV☆141Updated 10 months ago
- A LARS implementation in PyTorch☆343Updated 5 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆86Updated 4 years ago
- A script that applies the AdaIN style transfer method to arbitrary datasets☆159Updated 3 years ago
- Implementing Lambda Networks using Pytorch☆139Updated 4 years ago
- Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)☆212Updated 3 years ago
- Implementation of Barlow Twins paper☆100Updated 2 years ago
- ☆182Updated 2 years ago
- Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia …☆197Updated 5 years ago
- Official repository for "Revisiting Weakly Supervised Pre-Training of Visual Perception Models". https://arxiv.org/abs/2201.08371.☆179Updated 2 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…☆303Updated 4 years ago