Welcome to my Model Archive! This repository contains a collection of machine learning and deep learning models.
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Convolutional Neural Network Models
- Description: Models that utilize convolutional layers to process and classify visual data.
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Decision Trees
- Description: Models that use a tree-like structure for making decisions based on input features.
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Deep Learning Models
- Description: Various deep learning architectures for tasks such as classification, regression, and more.
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GANs (Generative Adversarial Networks)
- Description: Models that generate new data instances by learning from existing datasets.
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Neural Network Models
- Description: A collection of traditional neural network architectures.
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Draconix (Helper Function)
- Description: A module containing helper functions to assist with model training and evaluation.
This repository serves as an archive of my models. For specific details about each model, please refer to the README files located in each model's directory, if available.
Thank you for visiting my Model Archive!