fastai / imagenette
A smaller subset of 10 easily classified classes from Imagenet, and a little more French
☆1,025Updated 2 years ago
Alternatives and similar repositories for imagenette:
Users that are interested in imagenette are comparing it to the libraries listed below
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,719Updated last week
- Corruption and Perturbation Robustness (ICLR 2019)☆1,065Updated 2 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆986Updated 3 weeks ago
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,861Updated last year
- ☆596Updated 5 months ago
- Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper☆760Updated 2 years ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,279Updated last year
- Lucid library adapted for PyTorch☆622Updated last month
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,108Updated 4 months ago
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆797Updated last year
- A learning rate range test implementation in PyTorch☆954Updated 4 months ago
- Code for visualizing the loss landscape of neural nets☆2,958Updated 3 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆343Updated this week
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,570Updated 10 months ago
- Code snippets created for the PyTorch discussion board☆561Updated 4 years ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,601Updated 3 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆933Updated last year
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,475Updated 2 weeks ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆731Updated last year
- Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.☆320Updated 2 years ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,033Updated 2 years ago
- ☆537Updated 3 years ago
- A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quan…☆623Updated 2 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆673Updated last year
- ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.☆508Updated last year
- Open-source code for paper "Dataset Distillation"☆799Updated this week
- Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.☆1,526Updated 8 months ago
- Pytorch Lightning code guideline for conferences☆1,258Updated last year
- Codebase for Image Classification Research, written in PyTorch.☆2,153Updated last year
- A new test set for ImageNet☆250Updated last year