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A growing number of Machine Learning Frameworks recently made Deep Learning accessible to a wider audience of engineers, scientists, and practitioners, by allowing straightforward use of complex neural network architectures and algorithms.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Deep residual learning for image recognition, 2015
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Accelerating data loading in deep neural network training
Chih-Chieh Yang and Guojing Cong · 2019
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High performance i/o for large scale deep learning
Alex Aizman, Gavin Maltby, and Thomas Breuel · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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PyTorch Lightning, 3 2019
William Falcon and The PyTorch Lightning team · 2019
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Kaolin: A pytorch library for accelerating 3d deep learning research
Krishna Murthy Jatavallabhula, Edward Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, and Sanja Fidler · 2019
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Torchmeta: A meta-learning library for pytorch
Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen, and Yoshua Bengio · 2019
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Using Asyncio in Python: Understanding Python’s Asynchronous Programming Features
C. Hattingh · 2020
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Importance of data loading pipeline in training deep neural networks
Mahdi Zolnouri, Xinlin Li, and V. Nia · 2020
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Fastai: A layered api for deep learning
Jeremy Howard and Sylvain Gugger · 2020
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Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans
Ainaz Eftekhar, Alexander Sax, Jitendra Malik, and Amir Zamir · 2021
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Torchio: a python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García, Rachel Sparks, and Sebastien Ourselin · 2021
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