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1. ML-LSTM-CNN-RNN-MLP ML-LSTM-CNN-RNN-MLP Public

   Fundamental files to train and evaluate a simple LSTM, MLP, CNN, and RNN model which can be trained on a time-series dataset composed of n input features and m outputs classes.

   Python 3

2. Explainable-AI-XAI- Explainable-AI-XAI- Public

   This setup provides a basic integration of SHAP into your model training process, enabling you to gain insights into how different features affect the model's predictions. You can further customize…

   Python

3. Train-MobileNet Train-MobileNet Public

   This code is a script for training an image classification model MobileNet using PyTorch. The code is structured to facilitate easy training, evaluation, and monitoring of a deep learning model for…

   Python

4. Hybrid-CNN-LSTM-with-Spatial-Attention Hybrid-CNN-LSTM-with-Spatial-Attention Public

   This documents the training and evaluation of a Hybrid CNN-LSTM Attention model for time series classification in a dataset. The model combines convolutional neural networks (CNNs) for feature extr…

   Python 11 2

5. SplitImageDataset SplitImageDataset Public

   This Python script is designed to split a dataset of images into training and validation sets. It's particularly useful for preparing data for machine learning tasks, especially in computer vision …

   Python

6. Aqua-sense Aqua-sense Public

   The algorithm is designed for sensor data processing, employing various combining techniques for robust VLC communication.

   C