| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2026-03-24 | 5.0 kB | |
| v1.15.23 source code.tar.gz | 2026-03-24 | 3.3 MB | |
| v1.15.23 source code.zip | 2026-03-24 | 4.2 MB | |
| Totals: 3 Items | 7.5 MB | 1 | |
What's Changed
- Fix deprecation warning totensor (#1864) by @KylevdLangemheen in https://github.com/lightly-ai/lightly/pull/1866
- Move functional transforms API to compatibility layer (#1867) by @KylevdLangemheen in https://github.com/lightly-ai/lightly/pull/1870
- Fix the banner and tab name of LightlySSL Docs by @yutong-xiang-97 in https://github.com/lightly-ai/lightly/pull/1872
- Add DINOv2 to Readme (#1873) by @KylevdLangemheen in https://github.com/lightly-ai/lightly/pull/1875
- Fixed SMoG examples by @thomasmarchioro3 in https://github.com/lightly-ai/lightly/pull/1876
- Add DirectCLR (#781) by @KylevdLangemheen in https://github.com/lightly-ai/lightly/pull/1874
- Update README badge links by @Olexandr88 in https://github.com/lightly-ai/lightly/pull/1880
- Add link to social network twitter by @Olexandr88 in https://github.com/lightly-ai/lightly/pull/1883
- Update packages for CI by @IgorSusmelj in https://github.com/lightly-ai/lightly/pull/1896
- Contributing Guide: Add instructions on Imports by @liopeer in https://github.com/lightly-ai/lightly/pull/1895
- Add LeJEPA SIGReg Loss implementation by @gabrielfruet in https://github.com/lightly-ai/lightly/pull/1893
- Speed up momentum update by @vsey in https://github.com/lightly-ai/lightly/pull/1899
- Add LightlyStudio reference to README by @michal-lightly in https://github.com/lightly-ai/lightly/pull/1903
- Add DINOv2-3D: Self-Supervised 3D Vision Transformer Pretraining to README by @guarin in https://github.com/lightly-ai/lightly/pull/1890
- Add torchvision 0.26 support by @guarin in https://github.com/lightly-ai/lightly/pull/1904
New Contributors
- @thomasmarchioro3 made their first contribution in https://github.com/lightly-ai/lightly/pull/1876
- @Olexandr88 made their first contribution in https://github.com/lightly-ai/lightly/pull/1880
- @gabrielfruet made their first contribution in https://github.com/lightly-ai/lightly/pull/1893
- @vsey made their first contribution in https://github.com/lightly-ai/lightly/pull/1899
Full Changelog: https://github.com/lightly-ai/lightly/compare/v1.15.22...v1.15.23
Many thanks to our contributors!
Models
- AIM: Scalable Pre-training of Large Autoregressive Image Models
- Barlow Twins: Self-Supervised Learning via Redundancy Reduction, 2021
- Bootstrap your own latent: A new approach to self-supervised Learning, 2020
- DCL: Decoupled Contrastive Learning, 2021
- DenseCL: Dense Contrastive Learning for Self-Supervised Visual Pre-Training, 2021
- DINO: Emerging Properties in Self-Supervised Vision Transformers, 2021
- DINOv2: Learning Robust Visual Features without Supervision, 2023
- FastSiam: Resource-Efficient Self-supervised Learning on a Single GPU, 2022
- iBOT: Image BERT Pre-Training with Online Tokenizer, 2021
- I-JEPA: Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture, 2023
- MAE: Masked Autoencoders Are Scalable Vision Learners, 2021
- MSN: Masked Siamese Networks for Label-Efficient Learning, 2022
- MoCo: Momentum Contrast for Unsupervised Visual Representation Learning, 2019
- NNCLR: Nearest-Neighbor Contrastive Learning of Visual Representations, 2021
- PMSN: Prior Matching for Siamese Networks, 2022
- SimCLR: A Simple Framework for Contrastive Learning of Visual Representations, 2020
- SimMIM: A Simple Framework for Masked Image Modeling, 2021
- SimSiam: Exploring Simple Siamese Representation Learning, 2020
- SMoG: Unsupervised Visual Representation Learning by Synchronous Momentum Grouping, 2022
- SwAV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments, M. Caron, 2020
- TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning, 2022
- VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning, Bardes, A. et. al, 2022
- VICRegL: VICRegL: Self-Supervised Learning of Local Visual Features, 2022