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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2025-01-28 | 2.8 kB | |
| Update SimCLR and MAE model docs source code.tar.gz | 2025-01-28 | 3.3 MB | |
| Update SimCLR and MAE model docs source code.zip | 2025-01-28 | 4.1 MB | |
| Totals: 3 Items | 7.4 MB | 0 | |
Changes
- Update SimCLR model model example
- Update MAE model docs
- adjust pagination to be defensive at 2500 entries
- Fix typo: Dict() instead of dict() return class instanciation error by @gatienc in https://github.com/lightly-ai/lightly/pull/1785
Many thanks to all of 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
- FastSiam: Resource-Efficient Self-supervised Learning on a Single GPU, 2022
- 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