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Simple pytorch implementation of the u-net model for image segmentation

Image classification models on CIFAR10 dataset using pytorch

Automatic Pytorch Image Models

https://betterprogramming.pub/table-detection-and-extraction-tablenet-deep-learning-model-with-pytorch-from-images-64489e92b641

PyTorchDIA is a Difference Image Analysis tool. It is built around the PyTorch machine learning framework, and uses automatic differentiation and (optional) GPU support to perform lightning fast optimisations of image models.

A pytorch implementation of the paper "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images", NIPS, 2015

A PyTorch implementation of a text-image to video diffussion model with a cascaded architecture I2VGEN-XL

Image to LaTeX pytorch model

Bottom-up Top-down image captioning model with PyTorch.

This is a simple codebase to train a Visual Geolocalization model through image retrieval methods, using PyTorch Lightning and the PyTorch Metric Learning library