add demo and blog

README.md

@@ -11,6 +11,63 @@ Mitra regressor is a tabular foundation model that is pre-trained on purely synt
 
 Mitra is based on a 12-layer Transformer of 72 M parameters, pre-trained by incorporating an in-context learning paradigm.
 
+## Usage
+
+To use Mitra regressor, install AutoGluon by running:
+
+```sh
+pip install uv
+uv pip install autogluon.tabular[mitra]   
+```
+
+A minimal example showing how to perform inference using the Mitra regressor:
+
+```python
+import pandas as pd
+from autogluon.tabular import TabularDataset, TabularPredictor
+from sklearn.model_selection import train_test_split
+from sklearn.datasets import fetch_california_housing
+
+# Load datasets
+housing_data = fetch_california_housing()
+housing_df = pd.DataFrame(housing_data.data, columns=housing_data.feature_names)
+housing_df['target'] = housing_data.target
+
+print("Dataset shapes:")
+print(f"California Housing: {housing_df.shape}")
+
+# Create train/test splits (80/20)
+housing_train, housing_test = train_test_split(housing_df, test_size=0.2, random_state=42)
+
+print("Training set sizes:")
+print(f"Housing: {len(housing_train)} samples")
+
+# Convert to TabularDataset
+housing_train_data = TabularDataset(housing_train)
+housing_test_data = TabularDataset(housing_test)
+
+# Create predictor with Mitra for regression
+print("Training Mitra regressor on California Housing dataset...")
+mitra_reg_predictor = TabularPredictor(
+    label='target',
+    path='./mitra_regressor_model',
+    problem_type='regression'
+)
+mitra_reg_predictor.fit(
+    housing_train_data.sample(1000), # sample 1000 rows
+    hyperparameters={
+        'MITRA': {'fine_tune': False}
+    },
+)
+
+# Evaluate regression performance
+mitra_reg_predictor.leaderboard(housing_test_data)
+```
+
 ## License
 
-This project is licensed under the Apache-2.0 License.
+This project is licensed under the Apache-2.0 License.
+
+## Reference
+
+Amazon Science blog: [Mitra: Mixed synthetic priors for enhancing tabular foundation models](https://www.amazon.science/blog/mitra-mixed-synthetic-priors-for-enhancing-tabular-foundation-models?utm_campaign=mitra-mixed-synthetic-priors-for-enhancing-tabular-foundation-models&utm_medium=organic-asw&utm_source=linkedin&utm_content=2025-7-22-mitra-mixed-synthetic-priors-for-enhancing-tabular-foundation-models&utm_term=2025-july)