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1. Latent-Diffusion-MNIST-DDPM-using-Autoencoder Latent-Diffusion-MNIST-DDPM-using-Autoencoder Public

   Unlock the potential of latent diffusion models with MNIST! 🚀 Dive into reconstructing and generating digits using cutting-edge techniques like Autoencoders with Channel Attention Blocks and DDPMs.…

   Jupyter Notebook 4

2. From-Chaos-to-Clarity-Denoising-Images-with-UNet-and-GANs From-Chaos-to-Clarity-Denoising-Images-with-UNet-and-GANs Public

   ✨ Dive into image denoising magic! This project uses Attention U-Net and PatchGAN to tackle noise types like low Gaussian and salt-and-pepper noise. Perfect for computer vision, deep learning, and …

   Jupyter Notebook 2

3. VAE-MNIST-Variable-Latent-Size-Reconstruction-and-Visualization VAE-MNIST-Variable-Latent-Size-Reconstruction-and-Visualization Public

   Dive into the world of Variational Autoencoders (VAEs) with MNIST! 🎨✨ Explore variable latent sizes (2, 4, 16) to see how they affect reconstruction, latent space visualizations, and performance me…

   Jupyter Notebook 1

4. FashionTagger FashionTagger Public

   Upload your fashion images and get detailed labels, such as category, color, and season, predicted by my AI model using an ensemble of CNN architectures.

   Jupyter Notebook 9

5. RL_practices RL_practices Public

   Collection of my Reinforcement Learning (RL) practices including DQN, D3QN, and Adaptive Gamma, applied to the Lunar Lander and CartPole environments. 🚀🕹️

   Jupyter Notebook 12

6. MLPractices MLPractices Public

   A collection of machine learning practices covering decision trees, KNN, stroke prediction, neural networks, DBSCAN clustering, and more

   Jupyter Notebook 9