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Image Aesthetic Assessment in PyTorch with implemented popular datasets and models (possibly providing the pretrained ones).
Digit Recognizer using MNIST dataset with Deep Learning Model : CNN.
Kinship Detection Network Project - Multimedia Signal Processing (BE), supervised by Prof. L. Verdoliva (2023).
This is a Potato Disease Classification Mobile Application Using Flutter Framework and Convolutional Neural Network Artificial Intelligent Model Architecture. Hope you like it
Applying CNN (Convolutional Neural Network) for crop disease classification, aiding precision agriculture and yield protection.
This is a copy version from the original source of OctSurf: Efficient Hierarchical Voxel-based Molecular Surface Representation for the Protein-Ligand Affinity Prediction..
Face identification/recognition model using convolutional neural networks
Machine Learning project for emotion recognition
The Data Engineering and Visualisation project goal is to develop an MVP of a CNN model with a GUI that predicts heart disease from ECG images, measures the model's performance, and displays the predictions in the GUI.
a hands-on approach to real-life challenges and covers exactly what you need to succeed in the real world of Data Science
Basics to Advanced level Deep Learning using Keras and TensorFlow.
CNN that classifies fresh and rotten fruit. Transfer learning using the VGG16 model and data provided by Kaggle.
FaceSense is a machine learning project where when a face is detected through a image or webcam then it can predict its age and gender. Maybe perfect prediction of age can't be made but it can predict close to the actual age.