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explainingai-code

Hello,
I'm Tushar and I have a youtube channel, ExplainingAI , where I explain research papers and provide code implementations.
The channel and this GitHub profile, is my small attempt to bridge the gap between theory and implementation of latest papers. Your support ultimately enables me to dedicate more time and resources to this endeavor.
Thank You

1 sponsor has funded explainingai-code’s work.

@vadori

Featured work

  1. explainingai-code/StableDiffusion-PyTorch

    This repo implements a Stable Diffusion model in PyTorch with all the essential components.

    Python 139
  2. explainingai-code/DDPM-Pytorch

    This repo implements Denoising Diffusion Probabilistic Models (DDPM) in Pytorch

    Python 71
  3. explainingai-code/Dalle-Pytorch

    This repo implements and trains DallE-1 on a synthetically generated dataset which has colored mnist images on texture/solid background and auto generated captions.

    Python 11
  4. explainingai-code/VQVAE-Pytorch

    This repo implements VQVAE on mnist and as well as colored version of mnist images. It also implements simple LSTM for generating sample numbers using the encoder outputs of trained VQVAE

    Python 43
  5. explainingai-code/VAE-Pytorch

    This repository implements a simpleVAE for training on CPU on the MNIST dataset and provides ability to visualize the latent space, entire manifold as well as visualize how numbers interpolate betw…

    Python 21
  6. explainingai-code/VIT-Pytorch

    This repo implements and trains Vision Transformer (VIT) on a synthetically generated dataset which has colored mnist images on texture backgrounds

    Python 12

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