publish [GPU]: course_UvA-DL/12-meta-learning

Author: Azure Pipelines

.notebooks/course_UvA-DL/12-meta-learning.ipynb

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ebdabd54c901193ebf908bb7421c54e4944923e0dd7aa23af48f9e3b2bf50237
-size 763882
+oid sha256:bdfc59c9647ffca6b62fac4b59d4ed75b09beda69cfc17ea48ee16e7ad5c0f6b
+size 763335

.notebooks/course_UvA-DL/12-meta-learning.yaml

@@ -40,14 +40,16 @@ description: 'In this tutorial, we will discuss algorithms that learn models whi
 accelerator:
 - CPU
 - GPU
+OS: Linux
+python: 3.10.12
 environment:
+- matplotlib==3.9.1
+- scipy==1.14.0
+- numpy==1.26.4
 - seaborn==0.13.2
+- pytorch-lightning==2.0.9.post0
+- torch==2.1.2+cu121
+- torchvision==0.16.2+cu121
 - tensorboard==2.17.0
-- numpy==1.26.4
 - torchmetrics==1.2.1
-- torch==2.0.1+cu118
-- scipy==1.14.0
-- torchvision==0.15.2+cu118
-- matplotlib==3.9.1
-- pytorch-lightning==2.0.9.post0
-published: '2024-07-23T21:54:54.314097'
+published: '2024-07-26T07:10:27.557620'