PyData Global Tutorial on Data Patterns and OOP abstractions for Deep Learning using PyTorch
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Updated
Feb 11, 2023 - Jupyter Notebook
PyData Global Tutorial on Data Patterns and OOP abstractions for Deep Learning using PyTorch
A toolkit for generating datasets of midi files which have been degraded to be 'un-musical'.
PyTorch Dataset for Kafka.
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!
tfrecord
A utility for wrapping the Free Spoken Digit Dataset into PyTorch-ready data set splits.
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
Learning Pytorch from learnpytorch.io, implementing on datasets.
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.
👕 PyTorch implementation of PRCC dataset (NOT IMPLEMENTATION OF NETWORK)
The E2E Dataset, packed as a PyTorch DataSet subclass
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