diff --git a/GTSRB.Keras3/03-Better-convolutions.ipynb b/GTSRB.Keras3/03-Better-convolutions.ipynb
index 40b5f1e66588a984844124429c2d1db88888d4e2..2da733606d83bf7473722d49794e3cc0b8315a7b 100644
--- a/GTSRB.Keras3/03-Better-convolutions.ipynb
+++ b/GTSRB.Keras3/03-Better-convolutions.ipynb
@@ -61,9 +61,15 @@
"source": [
"### 1.2 - Parameters\n",
"`scale` is the proportion of the dataset that will be used during the training. (1 mean 100%) \n",
- "A 20% 24x24 L dataset, 10 epochs, 20% dataset, need 1'30 on a CPU laptop. (Accuracy=91.4)\\\n",
- "A 20% 48x48 RGB dataset, 10 epochs, 20% dataset, need 6'30s on a CPU laptop. (Accuracy=91.5)\\\n",
- "`fit_verbosity` is the verbosity during training : 0 = silent, 1 = progress bar, 2 = one line per epoch"
+ "- A 20% 24x24 L dataset, 10 epochs, 20% dataset, need 1'30 on a CPU laptop. (Accuracy=91.4)\\\n",
+ "- A 20% 48x48 RGB dataset, 10 epochs, 20% dataset, need 6'30s on a CPU laptop. (Accuracy=91.5)\n",
+ "\n",
+ "`model_name` is the model name from modules.my_models : \n",
+ "- model_01 for 24x24 ou 48x48 images\n",
+ "- model_02 for 48x48 images\n",
+ "\n",
+ "`fit_verbosity` is the verbosity during training : \n",
+ "- 0 = silent, 1 = progress bar, 2 = one line per epoch"
]
},
{
diff --git a/fidle/ci/cpu-default.yml b/fidle/ci/cpu-default.yml
index 54cf8c483cd8fdc37e37ef57832c7fb79ac7c9eb..116e89d25f235338ad64a6843300e6115ea13b69 100644
--- a/fidle/ci/cpu-default.yml
+++ b/fidle/ci/cpu-default.yml
@@ -1,11 +1,15 @@
campain:
- version: '1.0'
- description: Notebook test on CPU, default settings.
- directory: ./campains/cpu-default
- existing_notebook: 'remove' # remove|skip
- report_template: 'fidle' # fidle|default
+ version: '1.0'
+ description: Notebook test on CPU, default settings.
+ directory: ./campains/cpu-default
+ existing_notebook: 'remove' # remove|skip
+ report_template: 'fidle' # fidle|default
timeout: 6000
+ environment_vars:
+ FIDLE_SAVE_FIGS: true
+
+
#
# ------------ LinearReg
#
@@ -199,7 +203,4 @@ ACTF1:
notebook: Misc/01-Activation-Functions.ipynb
PANDAS1:
- notebook: Misc/02-Using-pandas.ipynb
-
-PYTORCH1:
- notebook: Misc/03-Using-Pytorch.ipynb
+ notebook: Misc/02-Using-pandas.ipynb
\ No newline at end of file
diff --git a/fidle/ci/default_settings.yml b/fidle/ci/default_settings.yml
deleted file mode 100644
index 7ab4f53d8058d00f5ebcb2827bbdb1a84ecc6d7f..0000000000000000000000000000000000000000
--- a/fidle/ci/default_settings.yml
+++ /dev/null
@@ -1,444 +0,0 @@
-campain:
- version: 1.0
- description: Complete validation of notebooks with default settings
- directory: ./campains/default_settings
- existing_notebook: skip
- report_template: fidle
- timeout: 6000
- environment_vars:
- FIDLE_SAVE_FIGS: true
- TF_CPP_MIN_LOG_LEVEL: 2
-
-
-#
-# ------------ LinearReg
-#
-LINR1:
- notebook: LinearReg/01-Linear-Regression.ipynb
-
-GRAD1:
- notebook: LinearReg/02-Gradient-descent.ipynb
-
-POLR1:
- notebook: LinearReg/03-Polynomial-Regression.ipynb
-
-LOGR1:
- notebook: LinearReg/04-Logistic-Regression.ipynb
-
-#
-# ------------ IRIS
-#
-PER57:
- notebook: IRIS/01-Simple-Perceptron.ipynb
-
-#
-# ------------ BHPD
-#
-BHPD1:
- notebook: BHPD/01-DNN-Regression.ipynb
- overrides:
- fit_verbosity: 2
-
-BHPD2:
- notebook: BHPD/02-DNN-Regression-Premium.ipynb
- overrides:
- fit_verbosity: 2
-
-WINE1:
- notebook: BHPD/03-DNN-Wine-Regression.ipynb
- overrides:
- fit_verbosity: 2
- dataset_name: default
-#
-# ------------ MNIST
-#
-MNIST1:
- notebook: MNIST/01-DNN-MNIST.ipynb
- overrides:
- fit_verbosity: 2
-
-MNIST2:
- notebook: MNIST/02-CNN-MNIST.ipynb
- overrides:
- fit_verbosity: 2
-
-#
-# ------------ GTSRB
-#
-GTSRB1:
- notebook: GTSRB/01-Preparation-of-data.ipynb
- overrides:
- scale: default
- output_dir: default
- progress_verbosity: 2
-
-GTSRB2:
- notebook: GTSRB/02-First-convolutions.ipynb
- after: GTSRB1
- overrides:
- enhanced_dir: default
- dataset_name: default
- batch_size: default
- epochs: default
- scale: default
- fit_verbosity: 2
-
-GTSRB3:
- notebook: GTSRB/03-Tracking-and-visualizing.ipynb
- after: GTSRB1
- overrides:
- enhanced_dir: default
- dataset_name: default
- batch_size: default
- epochs: default
- scale: default
- fit_verbosity: 2
-
-GTSRB4:
- notebook: GTSRB/04-Data-augmentation.ipynb
- after: GTSRB1
- overrides:
- enhanced_dir: default
- dataset_name: default
- batch_size: default
- epochs: default
- scale: default
- fit_verbosity: 2
-
-GTSRB5:
- notebook: GTSRB/05-Full-convolutions.ipynb
- after: GTSRB1
- overrides:
- enhanced_dir: default
- datasets: default
- models: default
- batch_size: default
- epochs: default
- scale: default
- with_datagen: default
- fit_verbosity: 2
-
-GTSRB6:
- notebook: GTSRB/06-Notebook-as-a-batch.ipynb
-
-GTSRB7:
- notebook: GTSRB/07-Show-report.ipynb
- after: GTSRB5
- overrides:
- report_dir: default
-
-#
-# ------------ IMDB
-#
-IMDB1:
- notebook: IMDB/01-One-hot-encoding.ipynb
- overrides:
- vocab_size: default
- hide_most_frequently: default
- batch_size: default
- epochs: default
- fit_verbosity: 2
-
-IMDB2:
- notebook: IMDB/02-Keras-embedding.ipynb
- overrides:
- vocab_size: default
- hide_most_frequently: default
- review_len: default
- dense_vector_size: default
- batch_size: default
- epochs: default
- output_dir: default
- fit_verbosity: 2
-
-IMDB3:
- notebook: IMDB/03-Prediction.ipynb
- after: IMDB2
- overrides:
- vocab_size: default
- review_len: default
- saved_models: default
- dictionaries_dir: default
-
-IMDB4:
- notebook: IMDB/04-Show-vectors.ipynb
- after: IMDB2
- overrides:
- vocab_size: default
- review_len: default
- saved_models: default
- dictionaries_dir: default
-
-IMDB5:
- notebook: IMDB/05-LSTM-Keras.ipynb
- overrides:
- vocab_size: default
- hide_most_frequently: default
- review_len: default
- dense_vector_size: default
- batch_size: default
- epochs: default
- scale: default
- fit_verbosity: 2
-
-#
-# ------------ SYNOP
-#
-LADYB1:
- notebook: SYNOP/LADYB1-Ladybug.ipynb
- overrides:
- scale: default
- train_prop: default
- sequence_len: default
- predict_len: default
- batch_size: default
- epochs: default
-
-SYNOP1:
- notebook: SYNOP/SYNOP1-Preparation-of-data.ipynb
- overrides:
- output_dir: default
-
-SYNOP2:
- notebook: SYNOP/SYNOP2-First-predictions.ipynb
- after: SYNOP1
- overrides:
- scale: default
- train_prop: default
- sequence_len: default
- batch_size: default
- epochs: default
- fit_verbosity: 2
-
-SYNOP3:
- notebook: SYNOP/SYNOP3-12h-predictions.ipynb
- after: SYNOP2
- overrides:
- iterations: default
- scale: default
- train_prop: default
- sequence_len: default
-
-#
-# ------------ Transformers
-#
-# TRANS1:
-# notebook: Transformers/01-Distilbert.ipynb
-#
-# TRANS2:
-# notebook: Transformers/02-distilbert_colab.ipynb
-
-#
-# ------------ AE
-#
-AE1:
- notebook: AE/01-Prepare-MNIST-dataset.ipynb
- overrides:
- prepared_dataset: default
- scale: default
- progress_verbosity: 2
-
-AE2:
- notebook: AE/02-AE-with-MNIST.ipynb
- after: AE1
- overrides:
- prepared_dataset: default
- dataset_seed: default
- scale: default
- latent_dim: default
- train_prop: default
- batch_size: default
- epochs: default
- fit_verbosity: 2
-
-AE3:
- notebook: AE/03-AE-with-MNIST-post.ipynb
- after: AE2
- overrides:
- prepared_dataset: default
- dataset_seed: default
- scale: default
- train_prop: default
-
-AE4:
- notebook: AE/04-ExtAE-with-MNIST.ipynb
- after: AE1
- overrides:
- prepared_dataset: default
- dataset_seed: default
- scale: default
- latent_dim: default
- train_prop: default
- batch_size: default
- epochs: default
- fit_verbosity: 2
-
-AE5:
- notebook: AE/05-ExtAE-with-MNIST.ipynb
- after: AE1
- overrides:
- prepared_dataset: default
- dataset_seed: default
- scale: default
- latent_dim: default
- train_prop: default
- batch_size: default
- epochs: default
- fit_verbosity: 2
-
-#
-# ------------ VAE
-#
-VAE1:
- notebook: VAE/01-VAE-with-MNIST.ipynb
- overrides:
- latent_dim: default
- loss_weights: default
- scale: default
- seed: default
- batch_size: default
- epochs: default
- fit_verbosity: 2
-
-VAE2:
- notebook: VAE/02-VAE-with-MNIST.ipynb
- overrides:
- latent_dim: default
- loss_weights: default
- scale: default
- seed: default
- batch_size: default
- epochs: default
- fit_verbosity: 2
-
-VAE3:
- notebook: VAE/03-VAE-with-MNIST-post.ipynb
- after: VAE2
- overrides:
- scale: default
- seed: default
- models_dir: default
-
-VAE5:
- notebook: VAE/05-About-CelebA.ipynb
- overrides:
- progress_verbosity: 2
-
-VAE6.1:
- notebook: VAE/06-Prepare-CelebA-datasets.ipynb
- overrides:
- scale: default
- seed: default
- cluster_size: default
- image_size: (128,128)
- output_dir: default
- exit_if_exist: default
- progress_verbosity: 2
-
-VAE6.2:
- notebook: VAE/06-Prepare-CelebA-datasets.ipynb
- overrides:
- scale: default
- seed: default
- cluster_size: default
- image_size: (192,160)
- output_dir: default
- exit_if_exist: default
- progress_verbosity: 2
-
-VAE7:
- notebook: VAE/07-Check-CelebA.ipynb
- after: VAE6.1
- overrides:
- image_size: default
- enhanced_dir: default
- progress_verbosity: 2
-
-VAE8:
- notebook: VAE/08-VAE-with-CelebA-128x128.ipynb
- after: VAE6.1
- overrides:
- scale: default
- image_size: default
- enhanced_dir: default
- latent_dim: default
- loss_weights: default
- batch_size: default
- epochs: default
- fit_verbosity: 2
-
-VAE9:
- notebook: VAE/09-VAE-with-CelebA-192x160.ipynb
- after: VAE6.2
- overrides:
- scale: default
- image_size: default
- enhanced_dir: default
- latent_dim: default
- loss_weights: default
- batch_size: default
- epochs: default
- fit_verbosity: 2
-
-VAE10.1:
- notebook: VAE/10-VAE-with-CelebA-post.ipynb
- after: VAE8
- overrides:
- image_size: (128,128)
- enhanced_dir: default
- models_dir: ./run/VAE8
-
-VAE10.2:
- notebook: VAE/10-VAE-with-CelebA-post.ipynb
- after: VAE9
- overrides:
- image_size: (192,160)
- enhanced_dir: default
- models_dir: ./run/VAE9
-
-#
-# ------------ DCGAN
-#
-SHEEP1:
- notebook: DCGAN/01-DCGAN-Draw-me-a-sheep.ipynb
- overrides:
- scale: default
- latent_dim: default
- epochs: default
- batch_size: default
- num_img: default
- fit_verbosity: 2
-
-SHEEP2:
- notebook: DCGAN/02-WGANGP-Draw-me-a-sheep.ipynb
- overrides:
- scale: default
- latent_dim: default
- epochs: default
- batch_size: default
- num_img: default
- fit_verbosity: 2
-
-#
-# ------------ DRL
-#
-# DRL1:
-# notebook: DRL/FIDLE_DQNfromScratch.ipynb
-
-# DRL2:
-# notebook: DRL/FIDLE_rl_baselines_zoo.ipynb
-
-#
-# ------------ Misc
-#
-ACTF1:
- notebook: Misc/Activation-Functions.ipynb
-
-NP1:
- notebook: Misc/Numpy.ipynb
-
-SCRATCH1:
- notebook: Misc/Scratchbook.ipynb
-
-TSB1:
- notebook: Misc/Using-Tensorboard.ipynb
diff --git a/fidle/ci/gpu-scale1.yml b/fidle/ci/gpu-scale1.yml
new file mode 100644
index 0000000000000000000000000000000000000000..0e65fa4026cefd5b46235231cf78b90c2c2eb936
--- /dev/null
+++ b/fidle/ci/gpu-scale1.yml
@@ -0,0 +1,218 @@
+campain:
+ version: '1.0'
+ description: Notebook test on GPU with scale=1.
+ directory: ./campains/gpu-scale1
+ existing_notebook: 'remove' # remove|skip
+ report_template: 'fidle' # fidle|default
+ timeout: 6000
+
+ environment_vars:
+ FIDLE_SAVE_FIGS: true
+
+
+#
+# ------------ LinearReg
+#
+LINR1:
+ notebook: LinearReg/01-Linear-Regression.ipynb
+
+GRAD1:
+ notebook: LinearReg/02-Gradient-descent.ipynb
+
+POLR1:
+ notebook: LinearReg/03-Polynomial-Regression.ipynb
+
+LOGR1:
+ notebook: LinearReg/04-Logistic-Regression.ipynb
+
+#
+# ------------ Perceptron
+#
+PER57:
+ notebook: Perceptron/01-Simple-Perceptron.ipynb
+
+#
+# ------------ BHPD.Keras3
+#
+K3BHPD1:
+ notebook: BHPD.Keras3/01-DNN-Regression.ipynb
+ overrides:
+ fit_verbosity: 2
+
+K3BHPD2:
+ notebook: BHPD.Keras3/02-DNN-Regression-Premium.ipynb
+ overrides:
+ fit_verbosity: 2
+
+#
+# ------------ BHPD.PyTorch
+#
+PBHPD1:
+ notebook: BHPD.PyTorch/01-DNN-Regression_PyTorch.ipynb
+
+#
+# ------------ Wine.Keras3
+#
+K3WINE1:
+ notebook: Wine.Keras3/01-DNN-Wine-Regression.ipynb
+ overrides:
+ fit_verbosity: 2
+ dataset_name: default
+
+#
+# ------------ Wine.Lightning
+#
+LWINE1:
+ notebook: Wine.Lightning/01-DNN-Wine-Regression-lightning.ipynb
+ overrides:
+ fit_verbosity: 2
+ dataset_name: default
+
+#
+# ------------ MNIST.Keras3
+#
+K3MNIST1:
+ notebook: MNIST.Keras3/01-DNN-MNIST.ipynb
+ overrides:
+ fit_verbosity: 2
+
+K3MNIST2:
+ notebook: MNIST.Keras3/02-CNN-MNIST.ipynb
+ overrides:
+ fit_verbosity: 2
+
+#
+# ------------ MNIST.PyTorch
+#
+PMNIST1:
+ notebook: MNIST.PyTorch/01-DNN-MNIST_PyTorch.ipynb
+
+#
+# ------------ MNIST.Lightning
+#
+LMNIST2:
+ notebook: MNIST.Lightning/02-CNN-MNIST_Lightning.ipynb
+
+#
+# ------------ GTSRB.Keras3
+#
+K3GTSRB1:
+ notebook: GTSRB.Keras3/01-Preparation-of-data.ipynb
+ overrides:
+ scale: 1
+ output_dir: {datasets_dir}/GTSRB/enhanced
+ progress_verbosity: default
+
+K3GTSRB2:
+ notebook: GTSRB.Keras3/02-First-convolutions.ipynb
+ after: K3GTSRB1
+ overrides:
+ enhanced_dir: {datasets_dir}/GTSRB/enhanced
+ dataset_name: set-24x24-L
+ batch_size: 64
+ epochs: 5
+ scale: 1
+ fit_verbosity: 2
+
+K3GTSRB3_1:
+ notebook: GTSRB.Keras3/03-Better-convolutions.ipynb
+ after: K3GTSRB1
+ overrides:
+ enhanced_dir: {datasets_dir}/GTSRB/enhanced
+ model_name: model-01
+ dataset_name: set-48x48-RGB
+ batch_size: 64
+ epochs: 5
+ scale: 1
+ fit_verbosity: 2
+
+K3GTSRB3_2:
+ notebook: GTSRB.Keras3/03-Better-convolutions.ipynb
+ after: K3GTSRB1
+ overrides:
+ enhanced_dir: {datasets_dir}/GTSRB/enhanced
+ model_name: model-02
+ dataset_name: set-48x48-RGB
+ batch_size: 64
+ epochs: 5
+ scale: 1
+ fit_verbosity: 2
+
+#
+# ------------ Embedding.Keras3
+#
+K3IMDB1:
+ notebook: Embedding.Keras3/01-One-hot-encoding.ipynb
+ overrides:
+ vocab_size: default
+ hide_most_frequently: default
+ batch_size: default
+ epochs: default
+ fit_verbosity: 2
+
+K3IMDB2:
+ notebook: Embedding.Keras3/02-Keras-embedding.ipynb
+ overrides:
+ vocab_size: default
+ hide_most_frequently: default
+ review_len: default
+ dense_vector_size: default
+ batch_size: default
+ epochs: default
+ output_dir: default
+ fit_verbosity: 2
+
+K3IMDB3:
+ notebook: Embedding.Keras3/03-Prediction.ipynb
+ after: K3IMDB2
+ overrides:
+ vocab_size: default
+ review_len: default
+ saved_models: default
+ dictionaries_dir: default
+
+K3IMDB4:
+ notebook: Embedding.Keras3/04-Show-vectors.ipynb
+ after: K3IMDB2
+ overrides:
+ vocab_size: default
+ review_len: default
+ saved_models: default
+ dictionaries_dir: default
+
+K3IMDB5:
+ notebook: Embedding.Keras3/05-LSTM-Keras.ipynb
+ overrides:
+ vocab_size: default
+ hide_most_frequently: default
+ review_len: default
+ dense_vector_size: default
+ batch_size: default
+ epochs: default
+ fit_verbosity: 2
+ scale: 1
+
+#
+# ------------ RNN.Keras3
+#
+K3LADYB1:
+ notebook: RNN.Keras3/01-Ladybug.ipynb
+ overrides:
+ scale: 1
+ train_prop: 0.8
+ sequence_len: 20
+ predict_len: 5
+ batch_size: 32
+ epochs: 10
+
+#
+# ------------ Misc
+#
+NP1:
+ notebook: Misc/00-Numpy.ipynb
+
+ACTF1:
+ notebook: Misc/01-Activation-Functions.ipynb
+
+PANDAS1:
+ notebook: Misc/02-Using-pandas.ipynb
\ No newline at end of file
diff --git a/fidle/ci/scale1_settings.yml b/fidle/ci/scale1_settings.yml
deleted file mode 100644
index ad1cac6063c0073dbcf39f981f71f294c3f05baf..0000000000000000000000000000000000000000
--- a/fidle/ci/scale1_settings.yml
+++ /dev/null
@@ -1,480 +0,0 @@
-campain:
- version: 1.0
- description: Full validation of notebooks with scale parameters set to 1
- directory: ./campains/scale1_settings
- existing_notebook: skip
- report_template: fidle
- timeout: 6000
- environment_vars:
- FIDLE_SAVE_FIGS: true
- TF_CPP_MIN_LOG_LEVEL: 2
-
-
-#
-# ------------ LinearReg
-#
-LINR1:
- notebook: LinearReg/01-Linear-Regression.ipynb
-
-GRAD1:
- notebook: LinearReg/02-Gradient-descent.ipynb
-
-POLR1:
- notebook: LinearReg/03-Polynomial-Regression.ipynb
-
-LOGR1:
- notebook: LinearReg/04-Logistic-Regression.ipynb
-
-#
-# ------------ IRIS
-#
-PER57:
- notebook: IRIS/01-Simple-Perceptron.ipynb
-
-#
-# ------------ BHPD
-#
-BHPD1:
- notebook: BHPD/01-DNN-Regression.ipynb
- overrides:
- fit_verbosity: 2
-
-BHPD2:
- notebook: BHPD/02-DNN-Regression-Premium.ipynb
- overrides:
- fit_verbosity: 2
-
-WINE1.1:
- notebook: BHPD/03-DNN-Wine-Regression.ipynb
- overrides:
- fit_verbosity: 2
- dataset_name: winequality-red.csv
-
-WINE1.2:
- notebook: BHPD/03-DNN-Wine-Regression.ipynb
- overrides:
- fit_verbosity: 2
- dataset_name: winequality-red.csv
-
-#
-# ------------ MNIST
-#
-MNIST1:
- notebook: MNIST/01-DNN-MNIST.ipynb
- overrides:
- fit_verbosity: 2
-
-MNIST2:
- notebook: MNIST/02-CNN-MNIST.ipynb
- overrides:
- fit_verbosity: 2
-
-#
-# ------------ GTSRB
-#
-GTSRB1:
- notebook: GTSRB/01-Preparation-of-data.ipynb
- overrides:
- scale: .05
- output_dir: ./data
- progress_verbosity: 2
-
-GTSRB2:
- notebook: GTSRB/02-First-convolutions.ipynb
- after: GTSRB1
- overrides:
- enhanced_dir: '{datasets_dir}/GTSRB/enhanced'
- dataset_name: set-24x24-L
- batch_size: 64
- epochs: 5
- scale: 1
- fit_verbosity: 2
-
-GTSRB3:
- notebook: GTSRB/03-Tracking-and-visualizing.ipynb
- after: GTSRB1
- overrides:
- enhanced_dir: '{datasets_dir}/GTSRB/enhanced'
- dataset_name: set-24x24-L
- batch_size: 64
- epochs: 5
- scale: 1
- fit_verbosity: 2
-
-GTSRB4:
- notebook: GTSRB/04-Data-augmentation.ipynb
- after: GTSRB1
- overrides:
- enhanced_dir: '{datasets_dir}/GTSRB/enhanced'
- dataset_name: set-24x24-L
- batch_size: 64
- epochs: 5
- scale: 1
- fit_verbosity: 2
-
-GTSRB5_1:
- notebook: GTSRB/05-Full-convolutions.ipynb
- after: GTSRB1
- overrides:
- run_dir: ./run/GTSRB5
- enhanced_dir: '{datasets_dir}/GTSRB/enhanced'
- datasets: "['set-24x24-L', 'set-24x24-RGB', 'set-48x48-L', 'set-48x48-RGB', 'set-24x24-L-LHE', 'set-24x24-RGB-HE', 'set-48x48-L-LHE', 'set-48x48-RGB-HE']"
- models: "{'v1':'get_model_v1', 'v2':'get_model_v2', 'v3':'get_model_v3'}"
- batch_size: 64
- epochs: 16
- scale: 1
- with_datagen: False
- fit_verbosity: 2
-
-GTSRB5_2:
- notebook: GTSRB/05-Full-convolutions.ipynb
- after: GTSRB1
- overrides:
- run_dir: ./run/GTSRB5
- enhanced_dir: '{datasets_dir}/GTSRB/enhanced'
- datasets: "['set-24x24-L', 'set-24x24-RGB', 'set-48x48-L', 'set-48x48-RGB', 'set-24x24-L-LHE', 'set-24x24-RGB-HE', 'set-48x48-L-LHE', 'set-48x48-RGB-HE']"
- models: "{'v1':'get_model_v1', 'v2':'get_model_v2', 'v3':'get_model_v3'}"
- batch_size: 64
- epochs: 16
- scale: 1
- with_datagen: False
- fit_verbosity: 2
-
-GTSRB5_3:
- notebook: GTSRB/05-Full-convolutions.ipynb
- after: GTSRB1
- overrides:
- run_dir: ./run/GTSRB5
- enhanced_dir: '{datasets_dir}/GTSRB/enhanced'
- datasets: "['set-48x48-L', 'set-48x48-RGB']"
- models: "{'v2':'get_model_v2', 'v3':'get_model_v3'}"
- batch_size: 64
- epochs: 16
- scale: 1
- with_datagen: True
- fit_verbosity: 2
-
-GTSRB6:
- notebook: GTSRB/06-Notebook-as-a-batch.ipynb
-
-GTSRB7:
- notebook: GTSRB/07-Show-report.ipynb
- after: GTSRB5
- overrides:
- report_dir: ./run/GTSRB5
-
-#
-# ------------ IMDB
-#
-IMDB1:
- notebook: IMDB/01-One-hot-encoding.ipynb
- overrides:
- vocab_size: 8000
- hide_most_frequently: 0
- batch_size: 512
- epochs: 10
- fit_verbosity: 2
-
-IMDB2:
- notebook: IMDB/02-Keras-embedding.ipynb
- overrides:
- vocab_size: 8000
- hide_most_frequently: 0
- review_len: 256
- dense_vector_size: 32
- batch_size: 512
- epochs: 30
- output_dir: default
- fit_verbosity: 2
-
-IMDB3:
- notebook: IMDB/03-Prediction.ipynb
- after: IMDB2
- overrides:
- vocab_size: 8000
- review_len: 256
- saved_models: default
- dictionaries_dir: default
-
-IMDB4:
- notebook: IMDB/04-Show-vectors.ipynb
- after: IMDB2
- overrides:
- vocab_size: 8000
- review_len: 256
- saved_models: default
- dictionaries_dir: default
-
-IMDB5:
- notebook: IMDB/05-LSTM-Keras.ipynb
- overrides:
- vocab_size: 8000
- hide_most_frequently: 0
- review_len: 256
- dense_vector_size: 32
- batch_size: 512
- epochs: 10
- scale: 1
- fit_verbosity: 2
-
-#
-# ------------ SYNOP
-#
-LADYB1:
- notebook: SYNOP/LADYB1-Ladybug.ipynb
- overrides:
- scale: 1
- train_prop: 0.8
- sequence_len: 20
- predict_len: 5
- batch_size: 32
- epochs: 10
-
-SYNOP1:
- notebook: SYNOP/SYNOP1-Preparation-of-data.ipynb
- overrides:
- output_dir: default
-
-SYNOP2:
- notebook: SYNOP/SYNOP2-First-predictions.ipynb
- after: SYNOP1
- overrides:
- scale: 1
- train_prop: 0.8
- sequence_len: 16
- batch_size: 32
- epochs: 10
- fit_verbosity: 2
-
-SYNOP3:
- notebook: SYNOP/SYNOP3-12h-predictions.ipynb
- after: SYNOP2
- overrides:
- iterations: 4
- scale: 1
- train_prop: 0.8
- sequence_len: 16
-
-#
-# ------------ Transformers
-#
-# TRANS1:
-# notebook: Transformers/01-Distilbert.ipynb
-#
-# TRANS2:
-# notebook: Transformers/02-distilbert_colab.ipynb
-
-#
-# ------------ AE
-#
-AE1:
- notebook: AE/01-Prepare-MNIST-dataset.ipynb
- overrides:
- prepared_dataset: default
- scale: 1
- progress_verbosity: 2
-
-AE2:
- notebook: AE/02-AE-with-MNIST.ipynb
- after: AE1
- overrides:
- prepared_dataset: default
- dataset_seed: 123
- scale: 1
- latent_dim: 10
- train_prop: 0.8
- batch_size: 128
- epochs: 30
- fit_verbosity: 2
-
-AE3:
- notebook: AE/03-AE-with-MNIST-post.ipynb
- after: AE2
- overrides:
- prepared_dataset: default
- dataset_seed: 123
- scale: 1
- train_prop: 0.8
-
-AE4:
- notebook: AE/04-ExtAE-with-MNIST.ipynb
- after: AE1
- overrides:
- prepared_dataset: default
- dataset_seed: default
- scale: 1
- latent_dim: 10
- train_prop: 0.8
- batch_size: 128
- epochs: 20
- fit_verbosity: 2
-
-AE5:
- notebook: AE/05-ExtAE-with-MNIST.ipynb
- after: AE1
- overrides:
- prepared_dataset: default
- dataset_seed: default
- scale: 1
- latent_dim: 10
- train_prop: 0.8
- batch_size: 128
- epochs: 30
- fit_verbosity: 2
-
-#
-# ------------ VAE
-#
-VAE1:
- notebook: VAE/01-VAE-with-MNIST.ipynb
- overrides:
- latent_dim: 2
- loss_weights: default
- scale: 1
- seed: default
- batch_size: 64
- epochs: 10
- fit_verbosity: 2
-
-VAE2:
- notebook: VAE/02-VAE-with-MNIST.ipynb
- overrides:
- latent_dim: 6
- loss_weights: default
- scale: 1
- seed: default
- batch_size: 64
- epochs: 10
- fit_verbosity: 2
-
-VAE3:
- notebook: VAE/03-VAE-with-MNIST-post.ipynb
- after: VAE2
- overrides:
- scale: 1
- seed: default
- models_dir: default
-
-VAE5:
- notebook: VAE/05-About-CelebA.ipynb
- overrides:
- progress_verbosity: 2
-
-VAE6.1:
- notebook: VAE/06-Prepare-CelebA-datasets.ipynb
- overrides:
- scale: 0.02
- seed: default
- cluster_size: 10000
- image_size: (128,128)
- output_dir: ./data
- exit_if_exist: False
- progress_verbosity: 2
-
-VAE6.2:
- notebook: VAE/06-Prepare-CelebA-datasets.ipynb
- overrides:
- scale: 0.02
- seed: default
- cluster_size: 10000
- image_size: (192,160)
- output_dir: ./data
- exit_if_exist: False
- progress_verbosity: 2
-
-VAE7:
- notebook: VAE/07-Check-CelebA.ipynb
- after: VAE6.1
- overrides:
- image_size: (192,160)
- enhanced_dir: ./data
- progress_verbosity: 2
-
-VAE8:
- notebook: VAE/08-VAE-with-CelebA-128x128.ipynb
- after: VAE6.1
- overrides:
- scale: 1
- image_size: (128,128)
- enhanced_dir: '{datasets_dir}/celeba/enhanced'
- latent_dim: 300
- loss_weights: default
- batch_size: 64
- epochs: 15
- fit_verbosity: 2
-
-VAE9:
- notebook: VAE/09-VAE-with-CelebA-192x160.ipynb
- after: VAE6.2
- overrides:
- scale: 1
- image_size: (192,160)
- enhanced_dir: '{datasets_dir}/celeba/enhanced'
- latent_dim: 300
- loss_weights: default
- batch_size: 64
- epochs: 10
- fit_verbosity: 2
-
-VAE10.1:
- notebook: VAE/10-VAE-with-CelebA-post.ipynb
- after: VAE8
- overrides:
- image_size: (128,128)
- enhanced_dir: '{datasets_dir}/celeba/enhanced'
- models_dir: ./run/VAE8
-
-VAE10.2:
- notebook: VAE/10-VAE-with-CelebA-post.ipynb
- after: VAE9
- overrides:
- image_size: (192,160)
- enhanced_dir: '{datasets_dir}/celeba/enhanced'
- models_dir: ./run/VAE9
-
-#
-# ------------ DCGAN
-#
-SHEEP1:
- notebook: DCGAN/01-DCGAN-Draw-me-a-sheep.ipynb
- overrides:
- scale: 1
- latent_dim: 128
- epochs: 8
- batch_size: 32
- num_img: 12
- fit_verbosity: 2
-
-SHEEP2:
- notebook: DCGAN/02-WGANGP-Draw-me-a-sheep.ipynb
- overrides:
- scale: 1
- latent_dim: 128
- epochs: 4
- batch_size: 64
- num_img: 12
- fit_verbosity: 2
-
-#
-# ------------ DRL
-#
-# DRL1:
-# notebook: DRL/FIDLE_DQNfromScratch.ipynb
-
-# DRL2:
-# notebook: DRL/FIDLE_rl_baselines_zoo.ipynb
-
-#
-# ------------ Misc
-#
-ACTF1:
- notebook: Misc/Activation-Functions.ipynb
-
-NP1:
- notebook: Misc/Numpy.ipynb
-
-SCRATCH1:
- notebook: Misc/Scratchbook.ipynb
-
-TSB1:
- notebook: Misc/Using-Tensorboard.ipynb