diff --git a/README.md b/README.md index d5f29ebf8db1af821d4d4554d6a2a31dd5a87776..9b97450162534925baf754cd8fefadb533455c2a 100644 --- a/README.md +++ b/README.md @@ -80,21 +80,21 @@ Useful information is also available in the [wiki](https://gricad-gitlab.univ-gr [[SYNOP3] - Time series with RNN - 12h predictions](SYNOP/03-12h-predictions.ipynb) Episode 3: Attempt to predict in the longer term [[VAE1] - Variational AutoEncoder (VAE) with MNIST](VAE/01-VAE-with-MNIST.ipynb) - First generative network experience with the MNIST dataset + Episode 1 : Model construction and Training [[VAE2] - Variational AutoEncoder (VAE) with MNIST - Analysis](VAE/02-VAE-with-MNIST-post.ipynb) - Use of the previously trained model, analysis of the results + Episode 2 : Exploring our latent space [[VAE3] - About the CelebA dataset](VAE/03-About-CelebA.ipynb) - New VAE experience, but with a larger and more fun dataset + Episode 3Â : About the CelebA dataset, a more fun dataset ! [[VAE4] - Preparation of the CelebA dataset](VAE/04-Prepare-CelebA-batch.ipynb) - Preparation of a clustered dataset, batchable + Episode 4Â : Preparation of a clustered dataset, batchable [[VAE5] - Checking the clustered CelebA dataset](VAE/05-Check-CelebA.ipynb) - Verification of prepared data from CelebA dataset + Episode 5Â :\tChecking the clustered dataset [[VAE6] - Variational AutoEncoder (VAE) with CelebA (small)](VAE/06-VAE-with-CelebA-s.ipynb) - VAE with a more fun and realistic dataset - small resolution and batchable + Episode 6Â : Variational AutoEncoder (VAE) with CelebA (small res.) [[VAE7] - Variational AutoEncoder (VAE) with CelebA (medium)](VAE/07-VAE-with-CelebA-m.ipynb) - VAE with a more fun and realistic dataset - medium resolution and batchable -[[VAE12] - Variational AutoEncoder (VAE) with CelebA - Analysis](VAE/12-VAE-withCelebA-post.ipynb) - Use of the previously trained model with CelebA, analysis of the results + Episode 7Â : Variational AutoEncoder (VAE) with CelebA (medium res.) +[[VAE12] - Variational AutoEncoder (VAE) with CelebA - Analysis](VAE/08-VAE-withCelebA-post.ipynb) + Episode 8Â : Exploring latent space of our trained models [[BASH1] - OAR batch script](VAE/batch-oar.sh) Bash script for OAR batch submission of a notebook [[BASH2] - SLURM batch script](VAE/batch-slurm.sh)