Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
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Updated
Jan 18, 2023 - Python
Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
A clean and simple data loading library for Continual Learning
PyTorch implementation of the CVPR 2019 paper “Pyramid Feature Attention Network for Saliency Detection”
A declarative, schema-based solution for fetching and crafting data, from simple to complicated.
A generic triplet data loader for image classification problems,and a triplet loss net demo.
Pytorch and TensorFlow data loaders for several audio datasets
According to funcwj's uPIT, the training code supporting multi-gpu is written, and the Dataloader is reconstructed.
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
Focus on Algorithm Design, Not on Data Wrangling
🔧 Easy-to-use PyTorch Dataset object for multivariate time series 🔧
Distributed DataLoader For Pytorch Based On Ray
num_workers Search Algorithm for Fast PyTorch DataLoader
Reading data into tensorflow using tf.data function
Loads OpenSubtitles v2018 dataset without having to load everything into memory at once. Works well with pytorch.
[FFCV-PL] manage fast data loading with ffcv and pytorch lightning
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