Move FastAI examples to their own folder

.github/workflows/test-examples.yml

@@ -21,6 +21,7 @@ jobs:
           - integrations/model-evaluation/gradio/notebooks/Gradio_and_Comet.ipynb
           - integrations/model-evaluation/gradio/notebooks/Logging_Model_Inferences_with_Comet_and_Gradio.ipynb
           - integrations/model-optimization/ray-tune/notebooks/Comet_and_Ray.ipynb
+          - integrations/model-training/fastai/notebooks/fastai_hello_world.ipynb
           - integrations/model-training/hugging_face/notebooks/Comet_with_Hugging_Face_Trainer.ipynb
           - integrations/model-training/keras/notebooks/Comet_with_Keras.ipynb
           - integrations/model-training/lightgbm/notebooks/Comet_and_LightGBM.ipynb
@@ -99,6 +100,8 @@ jobs:
         os: [ubuntu-latest]
         python-version: ["3.10"]
         example:
+          - {script: "integrations/model-optimization/optuna/optuna-hello-world/optuna-hello-world.py", arg: ""}
+          - {script: "integrations/model-training/fastai/fastai-hello-world/fastai_hello_world.py", arg: ""}
           - {script: "integrations/model-training/hugging_face/transformers-distilbert-fine-tuning/transformers-distilbert-fine-tuning.py", arg: ""}
           - {script: "integrations/model-training/keras/keras-mnist-dnn/keras-mnist-dnn.py", arg: ""}
           - {script: "integrations/model-training/mlflow/mlflow-hello-world/mlflow-hello-world.py", arg: "run"}
@@ -112,7 +115,6 @@ jobs:
           - {script: "integrations/workflow-orchestration/metaflow/metaflow-hello-world/helloworld.py", arg: "run"}
           - {script: "integrations/workflow-orchestration/metaflow/metaflow-model-evaluation/metaflow-model-evaluation.py", arg: "run --max-workers 1 --n_samples 100"}
           - {script: "integrations/workflow-orchestration/metaflow/metaflow-regression/metaflow-regression-example.py", arg: "run"}
-          - {script: "integrations/model-optimization/optuna/optuna-hello-world/optuna-hello-world.py", arg: ""}
     env:
       SCRIPT_TO_TEST: ${{ matrix.example.script }}
     steps:

fastai/README.md

@@ -0,0 +1 @@
+All of the fastai examples has been moved here: https://github.com/comet-ml/comet-examples/tree/master/integrations/model-training/fastai/.

integrations/model-training/fastai/fastai-hello-world/README.md

@@ -0,0 +1,30 @@
+# FastAI integration with Comet.ml
+
+[fastai](https://github.com/fastai/fastai) is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches.
+
+Instrument fastai with Comet to start managing experiments, create dataset versions and track hyperparameters for faster and easier reproducibility and collaboration.
+
+## Documentation
+
+For more information on using and configuring the fastai integration, see: [https://www.comet.com/docs/v2/integrations/ml-frameworks/fastai/](https://www.comet.com/docs/v2/integrations/ml-frameworks/fastai/?utm_source=comet-examples&utm_medium=referral&utm_campaign=github_repo_2023&utm_content=fastai)
+
+## See it
+
+Take a look at this [public Comet Project](https://www.comet.com/examples/comet-examples-fastai-hello-world/view/new/panels?utm_source=comet-examples&utm_medium=referral&utm_campaign=github_repo_2023&utm_content=fastai).
+
+## Setup
+
+Install dependencies
+
+```bash
+python -m pip install -r requirements.txt
+```
+
+## Run the example
+
+This example is fine-tuning a pre-trained resnet 28 model on the Mnist Tiny dataset for 5 epochs:
+
+
+```bash
+python fastai-hello-world.py
+```

integrations/model-training/fastai/fastai-hello-world/fastai_hello_world.py

@@ -0,0 +1,39 @@
+# coding: utf-8
+import comet_ml
+
+from fastai.vision.all import (
+    Categorize,
+    Datasets,
+    GrandparentSplitter,
+    IntToFloatTensor,
+    PILImageBW,
+    ToTensor,
+    URLs,
+    error_rate,
+    get_image_files,
+    parent_label,
+    resnet18,
+    untar_data,
+    vision_learner,
+)
+
+EPOCHS = 5
+
+comet_ml.init(project_name="comet-examples-fastai-hello-world")
+experiment = comet_ml.Experiment()
+
+path = untar_data(URLs.MNIST_TINY)
+
+items = get_image_files(path)
+tds = Datasets(
+    items,
+    [PILImageBW.create, [parent_label, Categorize()]],
+    splits=GrandparentSplitter()(items),
+)
+dls = tds.dataloaders(after_item=[ToTensor(), IntToFloatTensor()])
+
+learn = vision_learner(dls, resnet18, pretrained=True, metrics=error_rate)
+
+learn.fit_one_cycle(EPOCHS)
+
+experiment.end()

integrations/model-training/fastai/fastai-hello-world/requirements.txt

@@ -0,0 +1,2 @@
+comet_ml
+fastai