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This is a comprehensive assignment to build a classifier in pytorch on famous MNIST dataset and is perfect to get basic understanding of pytorch like pytorch training and validation loops and dataset class in pytorch and dataloaders etc
Python library for the evaluation of simulation data. The library provides functionalities to load simulation results into Python, to perform standard evaluation algorithms for Markov Chain Monte Carlo algorithms. It further can be used to generate a pytorch dataset from the simulation data.
Simple PyTorch Dataset for the EPIC-Kitchens-55 and EPIC-Kitchens-100 that handles frames and features (rgb, optical flow, and objects) for the Action Recognition and the Action Anticipation Tasks!