publish [GPU]: lightning_examples/barlow-twins

Author: Azure Pipelines

.notebooks/lightning_examples/barlow-twins.ipynb

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8a9ff3a37665fcb9d9a0ba862cafec75a27240bf01f9bd21585a7446f85fd268
+size 263525

.notebooks/lightning_examples/barlow-twins.yaml

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+title: Barlow Twins Tutorial
+author: Ananya Harsh Jha
+created: 2021-09-19
+updated: 2023-03-15
+license: CC BY-SA
+build: 0
+tags:
+- Image
+- Self-Supervised
+description: 'This notebook describes the self-supervised learning method Barlow Twins.
+
+  Barlow Twins differs from other recently proposed algorithms as it doesn''t
+
+  fall under the category of either contrastive learning, or methods like knowledge
+
+  distillation or clustering. The simplicity of the loss function and its effectiveness
+
+  in comparison to the current state of the art makes Barlow Twins an interesting
+
+  case study.
+
+  '
+requirements:
+- torchvision
+- matplotlib
+- lightning>=2.0.0
+accelerator:
+- GPU
+- CPU
+environment:
+- ipython==8.16.1
+- pytorch-lightning==2.0.9.post0
+- setuptools==69.0.3
+- torchmetrics==1.2.1
+- torch==2.0.1
+- numpy==1.26.4
+- urllib3==2.2.2
+- lightning==2.3.3
+- matplotlib==3.8.4
+- torchvision==0.15.2
+published: '2024-07-19T20:50:59.827715'