A smaller subset of 10 easily classified classes from Imagenet, and a little more French
☆1,128Sep 26, 2022Updated 3 years ago
Alternatives and similar repositories for imagenette
Users that are interested in imagenette are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆36,958Updated this week
- A drop-in replacement for CIFAR-10.☆248Mar 7, 2021Updated 5 years ago
- Code you can use jointly with fastai☆93Nov 30, 2020Updated 5 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆945Jan 11, 2024Updated 2 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆508Jan 20, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,295Mar 3, 2024Updated 2 years ago
- A very naive and simple benchmark between dlib and pytorch in terms of space and time☆19May 13, 2020Updated 6 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,543Updated this week
- Corruption and Perturbation Robustness (ICLR 2019)☆1,163Aug 24, 2022Updated 3 years ago
- TPU support for the fastai library☆14Apr 15, 2021Updated 5 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,628Mar 25, 2022Updated 4 years ago
- Code for visualizing the loss landscape of neural nets☆3,186Apr 5, 2022Updated 4 years ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,752Jan 20, 2026Updated 5 months ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,218Jul 2, 2026Updated last week
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- fast.ai early development experiments☆642Apr 11, 2023Updated 3 years ago
- Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125☆15,318Jun 25, 2025Updated last year
- Over9000 optimizer☆424Nov 22, 2022Updated 3 years ago
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,989Jun 16, 2024Updated 2 years ago
- ☆538Dec 30, 2021Updated 4 years ago
- 🐍 Geometric Computer Vision Library for Spatial AI☆11,271Updated this week
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆779Apr 14, 2026Updated 2 months ago
- ImageNet classifier with state-of-the-art adversarial robustness☆684Dec 31, 2019Updated 6 years ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,896Apr 27, 2026Updated 2 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆226Apr 16, 2020Updated 6 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆285Jul 23, 2021Updated 4 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,492May 16, 2023Updated 3 years ago
- An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…☆196Mar 27, 2021Updated 5 years ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,204Dec 22, 2023Updated 2 years ago
- Model interpretability and understanding for PyTorch☆5,665Updated this week
- Accelerated deep learning R&D☆3,373Jun 27, 2025Updated last year
- torch-optimizer -- collection of optimizers for Pytorch☆3,169Mar 22, 2024Updated 2 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆588Oct 12, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A collection of infrastructure and tools for research in neural network interpretability.☆4,706Feb 6, 2023Updated 3 years ago
- A Harder ImageNet Test Set (CVPR 2021)☆619Mar 23, 2024Updated 2 years ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,770Jul 1, 2026Updated last week
- A python library for self-supervised learning on images.☆3,776Updated this week
- Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper☆779Jan 11, 2023Updated 3 years ago
- Labels and other data for the paper "Are we done with ImageNet?"☆201Dec 8, 2021Updated 4 years ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,506May 22, 2023Updated 3 years ago