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Simple, custom-built autoregressive models for generating MNIST images using PyTorch.

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CNN Autoregressive Models for MNIST Image Generation

Simple, custom-built autoregressive models for generating MNIST images using PyTorch.

Overview

There are many, slightly different implementations/architectures of MNIST image generation in this repository. The main purpose of this repository is to explore how to build an effective autoregressive model for MNIST images using convolutional layers and machine learning techniques in general.

Requirements

  • Pytorch

Usage

Just run one of the train codes and it will start training the model and at the end, it will spit out sample images of numbers from 0 to 9.

Architecture

To be written.

Sample Output

train_2: train_2

train_3: train_3

train_5: train_5

train_6: train_6

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Simple, custom-built autoregressive models for generating MNIST images using PyTorch.

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