Bump lightly from 1.4.25 to 1.5.11 in /requirements

[dependabot[bot]]

Bumps lightly from 1.4.25 to 1.5.11.

Release notes

Sourced from lightly's releases.

NumPy 2 support and new IBOTPatchLoss, KoLeoLoss

• Added IBOTPatchLoss, KoLeoLoss and block masking, thanks @​guarin
• Allow learnable positional embeddings and boolean masking in masked vision transformer
• Refactor IJEPA to use timm, thanks @​radiradev

Dependencies

• Allow NumPy 2, thanks @​adamjstewart
• Removed lightning-bolts dependency

Docs

• Add finetuning tutorial, thanks @​SauravMaheshkar
• Fix MoCo link in DenseCL docs and further docs and tutorial improvements

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

DenseCL, SSL model improvements

• Adds the DenseCL: Dense Contrastive Learning for Self-Supervised Visual Pre-Training method. See the docs.
• Add TiCoTransform, thanks @​radiradev!
• Improvements to the pre-commit hooks, thanks @​SauravMaheshkar!
• Fix memory bank issue when using gather_distributed=True and training on a single GPU
• Fix student head update in DINO benchmark
• Various improvements to MaskedVisionTransformer
• Renaming of Lightly SSL to LightlySSL

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

... (truncated)

Commits

• 8fb8bfd prep 1.5.11 (#1624)
• bf34412 Move citation into .cff (#1622)
• 4879525 Add IBOTPatchLoss (#1616)
• a06a954 Download finetune tutorial checkpoint directly from url (#1620)
• 35c2cfb Fix import error tutorial_checkpoint_finetuning.py (#1619)
• 1bde34e Refactor IJEPA to use timm. (#1612)
• 01c596d docs(tutorial): add finetuning tutorial (#1617)
• 108d69c feat: drop duplicate code in modules (#1618)
• 78f59fc Add block masking (#1601)
• 05080a7 Fix MoCo link in DenseCL docs (#1613)
• Additional commits viewable in compare view

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