From e946b8a5937b2c411b262666dc7c5d5d353523d8 Mon Sep 17 00:00:00 2001 From: Ali Bavarchee <56033790+AliBavarchee@users.noreply.github.com> Date: Sat, 21 Dec 2024 20:00:36 +0330 Subject: [PATCH] Update README.md --- README.md | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) diff --git a/README.md b/README.md index 7be924a..f775753 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,24 @@ __________________________________________________

![logo](https://github.com/AliBavarchee/LatentBoostClassifier/blob/main/HybridGenerativeModel_Slogo.png)

__________________________________________________ --- +__ ___ ______ ____ __ __ ______ + || // \\ | || | || ||\ || | || | + || ||=|| || ||== ||\\|| || + ||__| || || || ||___ || \|| || + ____ ___ ___ __ ______ + || )) // \\ // \\ (( \ | || | + ||=) (( )) (( )) \\ || + ||_)) \\_// \\_// \_)) || + __ + / | _ _ _ . (_ . _ _ + \__ | (_| _) _) | | | (- | + __ ___ ____ + /_ | |__ \ |___ \ + | | ) | __) | + | | / / |__ < + | | __ / /_ __ ___) | + |_| (__)|____| (__)|____/ +--- +--- # LatentBoostClassifier: Hybrid Generative Model: CVAE + CGAN + RF This repository implements a **hybrid generative model+** combining a Conditional Variational Autoencoder (CVAE), a Conditional Generative Adversarial Network (CGAN), and a Random Forest Classifier (RFC). The hybrid model is designed for complex classification tasks by leveraging latent feature extraction (CVAE), synthetic data generation (CGAN), and robust classification (RFC).