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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-HybridCNNLSTMwithAttention Explainable-AI-XAI-HybridCNNLSTMwithAttention 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 1 1

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 26 4

5. Spoof-Detect-Using-ViT Spoof-Detect-Using-ViT Public

   This comprehensive code implements a deep learning solution for spoofing detection using a Vision Transformer (ViT) architecture. The system leverages transfer learning by fine-tuning a pre-trained…

   Python 4 1

6. Animal-Tracking-YOLO Animal-Tracking-YOLO Public

   This project uses a custom-trained YOLOv8 model to detect and track rats in video streams, compute the distance traveled, and generate visual analytics such as path plots and heatmaps.

   Python