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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
| Date | Stars |
|---|---|
| 2026-07-24 | 1568 |
| 2026-07-25 | 1568 |
| 2026-07-28 | 1568 |
| 2026-07-30 | 1568 |
| 2026-08-06 | 1568 |
Today
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Momentum
0.0
growth rate 0.00%/day
<p align="center"> <img src="logo.png" width="250"/> </p> <div align="center"> [](https://github.com/vturrisi/solo-learn/actions/workflows/tests.yml) [](https://solo-learn.readthedocs.io/en/latest/?badge=latest) [](https://codecov.io/gh/vturrisi/solo-learn) </div> # solo-learn A library of self-supervised methods for unsupervised visual representation learning powered by PyTorch Lightning. We aim at providing SOTA self-supervised methods in a comparable environment while, at the same time, implementing training tricks. The library is self-contained, but it is possible to use the models outside of solo-learn. **More details in our [paper](#citation)**. --- ## News * **[Jan 14 2024]**: :clap: Bunch of stability improvements during 2023 :) Also added [All4One](https://openaccess.thecvf.com/content/ICCV2023/html/Estepa_All4One_Symbiotic_Neighbour_Contrastive_Learning_via_Self-Attention_and_Redundancy_Reduction_ICCV_2023_paper.html). * **[Jan 07 2023]**: :diving_mask: Added results, checkpoints and configs for MAE on ImageNet. Thanks to [HuangChiEn](https://github.com/HuangChiEn). * **[Dec 31 2022]**: :stars: Shiny new logo! Huge thanks to [Luiz](https://www.instagram.com/linhaaspera/)! * **[Sep 27 2022]**: :pencil: Brand new config system using OmegaConf/Hydra. Adds more clarity and flexibility. New tutorials will follow soon! * **[Aug 04 2022]**: :paintbrush: Added [MAE](https://arxiv.org/abs/2111.06377) and supports finetuning the backbone with `main_linear.py`, mixup, cutmix and [random augment](https://arxiv.org/abs/1909.13719). * **[Jul 13 2022]**: :sparkling_heart: Added support for [H5](https://docs.h5py.org/en/stable/index.html) data, improved scripts and data handling. * **[Jun 26 2022]**: :fire: Added [MoCo V3](https://arxiv.org/abs/2104.02057). * **[Jun 10 2022]**: :bomb: Improved LARS. * **[Jun 09 2022]**: :lollipop: Added support for [WideResnet](https://arxiv.org/abs/1605.07146), multicrop for SwAV and equalization data augmentation. * **[May 02 2022]**: :diamond_shape_with_a_dot_inside: Wrapped Dali with a DataModule, added auto resume for linear eval and Wandb run resume. * **[Apr 12 2022]**: :rainbow: Improved design of models and added support to train with a fraction of data. * **[Apr 01 2022]**: :mag: Added the option to use [channel last conversion](https://pytorch.org/tutorials/intermediate/memory_format_tutorial.html#converting-existing-models) which considerably decreases training times. * **[Feb 04 2022]**: :partying_face: Paper got accepted to JMLR. * **[Jan 31 2022]**: :eye: Added ConvNeXt support with timm. * **[Dec 20 2021]**: :thermometer: Added ImageNet results, scripts and checkpoints for MoCo V2+. * **[Dec 05 2021]**: :notes: Separated [SupCon](https://arxiv.org/abs/2004.11362) from SimCLR and added runs. * **[Dec 01 2021]**: :fountain: Added [PoolFormer](https://arxiv.org/abs/2111.11418). * **[Nov 29 2021]**: :bangbang: Breaking changes! Update your versions!!! * **[Nov 29 2021]**: :book: New tutorials! * **[Nov 29 2021]**: :houses: Added offline K-NN and offline UMAP. * **[Nov 29 2021]**: :rotating_light: Updated PyTorch and PyTorch Lightning versions. 10% faster. * **[Nov 29 2021]**: :beers: Added code of conduct, contribution instructions, issue templates and UMAP tutorial. * **[Nov 23 2021]**: :space_invader: Added [VIbCReg](https://arxiv.org/abs/2109.00783). * **[Oct 21 2021]**: :triumph: Added support for object recognition via Detectron v2 and auto resume functionally that automatically tries to resume an experiment that crashed/reached a timeout. * **[Oct 10 2021]**: :japanese_ogre: Restructured augmentation pipelines to allow more flexibility and multicrop. Also added multicrop for BYOL. * **[Sep 27 2021]**: :pi
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:93afa8710644917f, topic:contrastive-learning, desc:representation learning, readme:representation learning
matched fp:93afa8710644917f, topic:pytorch