- setup_kaggle : This function helps you to setup kaggle and user kaggle command in colab notebook.
- unzip : This function unzip a zip file.
- walk_through_dir : Walks through dir_path returning its contents.
- create_tensorboard_callback : Creates a TensorBoard callback instand to store log files.
- plot_loss_curves : Returns separate loss curves for training and validation metrics.
- compare_historys : Compares two TensorFlow model History objects.
- classification_eval_metrices : Calculates model accuracy, precision, recall and f1 score of a classification model.
- regression_eval_metrices : Calculates model mae, mse, rmse, mape and mase of a regression model.
anmolmishra99/Subu
Bunch of helper functions to do small tasks required for notebooks for ml and deep learning task
Python