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1. PointNet-3D-Point-Cloud-Classification PointNet-3D-Point-Cloud-Classification Public

   This project is a PyTorch implementation of the PointNet architecture, designed for 3D object classification tasks. The project follows a staged progression, building from a simple baseline to a fu…

   Jupyter Notebook

2. CNN-Custom-Layers CNN-Custom-Layers Public

   This project explores key components of modern CNNs using the STL-10 dataset. We start with a simple baseline CNN, identify its weaknesses, implement BatchNorm and Dropout from scratch to address t…

   Jupyter Notebook

3. VAE-and-Diffusion-Models VAE-and-Diffusion-Models Public

   This project is a comprehensive implementation of Variational Autoencoders (VAE) and Denoising Diffusion Probabilistic Models (DDPM) for image generation on MNIST.

   Python

4. NeRF_Implementation NeRF_Implementation Public

   A PyTorch implementation of Neural Radiance Fields (NeRF) for synthesizing novel views of complex 3D scenes from a set of 2D images.

   Jupyter Notebook