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Update course tutorials to Lightning 2.0 #232

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Borda merged 29 commits into from
Mar 14, 2023
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Update course tutorials to Lightning 2.0 #232

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c1c8168
update optimization
awaelchli Mar 13, 2023
0504638
update inception
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da590db
update attention
awaelchli Mar 13, 2023
ec3d50a
incomplete GNN
awaelchli Mar 13, 2023
0b92f1d
update energy models
awaelchli Mar 13, 2023
a5466e4
update deep autoencoders
awaelchli Mar 13, 2023
88722ac
normalizing flows incomplete
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47f1cfe
autoregressive
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cfab2ee
vit
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meta learning
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[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Mar 13, 2023
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Apply suggestions from code review
awaelchli Mar 13, 2023
000c803
update gnn
awaelchli Mar 13, 2023
3824605
simclr
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d1a93e7
update
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Merge branch 'upgrade/course' of github.com:Lightning-AI/tutorials in…
awaelchli Mar 13, 2023
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[pre-commit.ci] auto fixes from pre-commit.com hooks
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Update course_UvA-DL/05-transformers-and-MH-attention/Transformers_MH…
awaelchli Mar 13, 2023
099c50a
update
awaelchli Mar 13, 2023
82f2be6
links
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Merge branch 'main' into upgrade/course
Borda Mar 14, 2023
5733cc0
Merge branch 'main' into upgrade/course
Borda Mar 14, 2023
28accf9
2.0.0rc0
Borda Mar 14, 2023
10615e9
lightning
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217be55
2.0
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docs build fix
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Merge branch 'main' into upgrade/course
Borda Mar 14, 2023
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2.0.0rc0
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@Borda
Borda committed Mar 14, 2023
commit 28accf921dafbfb16427c5f66a560cb96b45a372
2 changes: 1 addition & 1 deletion course_UvA-DL/01-introduction-to-pytorch/.meta.yml
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@@ -1,7 +1,7 @@
title: "Tutorial 1: Introduction to PyTorch"
author: Phillip Lippe
created: 2021-08-27
updated: 2023-01-04
updated: 2023-03-14
license: CC BY-SA
description: |
This tutorial will give a short introduction to PyTorch basics, and get you setup for writing your own neural networks.
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2 changes: 1 addition & 1 deletion course_UvA-DL/02-activation-functions/.meta.yml
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title: "Tutorial 2: Activation Functions"
author: Phillip Lippe
created: 2021-08-27
updated: 2023-01-04
updated: 2023-03-14
license: CC BY-SA
description: |
In this tutorial, we will take a closer look at (popular) activation functions and investigate their effect on optimization properties in neural networks.
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2 changes: 1 addition & 1 deletion course_UvA-DL/03-initialization-and-optimization/.meta.yml
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@@ -1,7 +1,7 @@
title: "Tutorial 3: Initialization and Optimization"
author: Phillip Lippe
created: 2021-08-27
updated: 2023-01-04
updated: 2023-03-14
license: CC BY-SA
tags:
- Image
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4 changes: 2 additions & 2 deletions course_UvA-DL/04-inception-resnet-densenet/.meta.yaml
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title: "Tutorial 4: Inception, ResNet and DenseNet"
author: Phillip Lippe
created: 2021-08-27
updated: 2023-01-04
updated: 2023-03-14
license: CC BY-SA
tags:
- Image
Expand All @@ -18,6 +18,6 @@ requirements:
- matplotlib
- seaborn
- tabulate
- pytorch-lightning>=1.8
- pytorch-lightning>=2.0.0rc0
accelerator:
- GPU
4 changes: 2 additions & 2 deletions course_UvA-DL/05-transformers-and-MH-attention/.meta.yml
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@@ -1,7 +1,7 @@
title: "Tutorial 5: Transformers and Multi-Head Attention"
author: Phillip Lippe
created: 2021-06-30
updated: 2023-01-04
updated: 2023-03-14
license: CC BY-SA
build: 0
tags:
Expand All @@ -19,6 +19,6 @@ requirements:
- torchvision
- matplotlib
- seaborn
- pytorch-lightning>=1.8
- pytorch-lightning>=2.0.0rc0
accelerator:
- GPU
4 changes: 2 additions & 2 deletions course_UvA-DL/06-graph-neural-networks/.meta.yml
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title: "Tutorial 6: Basics of Graph Neural Networks"
author: Phillip Lippe
created: 2021-06-07
updated: 2023-01-04
updated: 2023-03-14
license: CC BY-SA
build: 0
tags:
Expand All @@ -23,7 +23,7 @@ requirements:
- torch-cluster
- torch-spline-conv
- torch-geometric
- pytorch-lightning>=1.8
- pytorch-lightning>=2.0.0rc0
pip__find-link:
# - https://pytorch-geometric.com/whl/torch-1.8.0+cu101.html
- https://pytorch-geometric.com/whl/torch-%(TORCH_MAJOR_DOT_MINOR)s.0+%(DEVICE)s.html
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4 changes: 2 additions & 2 deletions course_UvA-DL/07-deep-energy-based-generative-models/.meta.yml
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@@ -1,7 +1,7 @@
title: "Tutorial 7: Deep Energy-Based Generative Models"
author: Phillip Lippe
created: 2021-07-12
updated: 2023-01-04
updated: 2023-03-14
license: CC BY-SA
build: 0
tags:
Expand All @@ -22,7 +22,7 @@ requirements:
- torchvision
- matplotlib
- tensorboard
- pytorch-lightning>=1.8
- pytorch-lightning>=2.0.0rc0
accelerator:
- CPU
- GPU
4 changes: 2 additions & 2 deletions course_UvA-DL/08-deep-autoencoders/.meta.yml
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@@ -1,7 +1,7 @@
title: "Tutorial 8: Deep Autoencoders"
author: Phillip Lippe
created: 2021-07-12
updated: 2023-01-04
updated: 2023-03-14
license: CC BY-SA
build: 0
tags:
Expand All @@ -22,7 +22,7 @@ requirements:
- torchvision
- matplotlib
- seaborn
- pytorch-lightning>=1.8
- pytorch-lightning>=2.0.0rc0
accelerator:
- CPU
- GPU
4 changes: 2 additions & 2 deletions course_UvA-DL/09-normalizing-flows/.meta.yml
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title: "Tutorial 9: Normalizing Flows for Image Modeling"
author: Phillip Lippe
created: 2021-06-07
updated: 2023-01-04
updated: 2023-03-14
license: CC BY-SA
build: 0
tags:
Expand All @@ -25,7 +25,7 @@ requirements:
- matplotlib
- seaborn
- tabulate
- pytorch-lightning>=1.8
- pytorch-lightning>=2.0.0rc0
accelerator:
- CPU
- GPU
3 changes: 2 additions & 1 deletion course_UvA-DL/10-autoregressive-image-modeling/.meta.yml
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@@ -1,7 +1,7 @@
title: "Tutorial 10: Autoregressive Image Modeling"
author: Phillip Lippe
created: 2021-07-12
updated: 2021-07-12
updated: 2023-03-14
license: CC BY-SA
build: 0
tags:
Expand All @@ -18,5 +18,6 @@ requirements:
- torchvision
- matplotlib
- seaborn
- pytorch-lightning>=2.0.0rc0
accelerator:
- GPU
4 changes: 2 additions & 2 deletions course_UvA-DL/11-vision-transformer/.meta.yml
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title: "Tutorial 11: Vision Transformers"
author: Phillip Lippe
created: 2021-08-21
updated: 2023-01-04
updated: 2023-03-14
license: CC BY-SA
description: |
In this tutorial, we will take a closer look at a recent new trend: Transformers for Computer Vision.
Expand All @@ -17,7 +17,7 @@ requirements:
- torchvision
- matplotlib
- seaborn
- pytorch-lightning>=1.8
- pytorch-lightning>=2.0.0rc0
accelerator:
- CPU
- GPU
4 changes: 2 additions & 2 deletions course_UvA-DL/12-meta-learning/.meta.yml
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@@ -1,7 +1,7 @@
title: "Tutorial 12: Meta-Learning - Learning to Learn"
author: Phillip Lippe
created: 2021-08-21
updated: 2023-01-04
updated: 2023-03-14
license: CC BY-SA
tags:
- Few-shot-learning
Expand All @@ -23,7 +23,7 @@ requirements:
- torchvision
- matplotlib
- seaborn
- pytorch-lightning>=1.8
- pytorch-lightning>=2.0.0rc0
accelerator:
- CPU
- GPU
3 changes: 2 additions & 1 deletion course_UvA-DL/13-contrastive-learning/.meta.yml
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title: "Tutorial 13: Self-Supervised Contrastive Learning with SimCLR"
author: Phillip Lippe
created: 2021-08-30
updated: 2021-08-30
updated: 2023-03-14
license: CC BY-SA
tags:
- Image
Expand All @@ -20,6 +20,7 @@ requirements:
- torchvision
- matplotlib
- seaborn
- pytorch-lightning>=2.0.0rc0
accelerator:
- CPU
- GPU