theairbend3r / how-to-train-your-neural-net

Deep learning research implemented on notebooks using PyTorch.

Date Created 2020-02-06 (4 years ago)

Commits 68 (last one 2 years ago)

Stargazers 63 (0 this week)

Watchers 4 (0 this week)

Forks 22

License gpl-3.0

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RepositoryStats indexes 565,600 repositories, of these theairbend3r/how-to-train-your-neural-net is ranked #386,874 (32nd percentile) for total stargazers, and #366,616 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #9,721/16,305.

theairbend3r/how-to-train-your-neural-net is also tagged with popular topics, for these it's ranked: deep-learning (#6,142/8173), machine-learning (#5,831/7699), pytorch (#4,349/5824), computer-vision (#2,190/2976), nlp (#1,768/2360), natural-language-processing (#1,062/1381), time-series (#486/634), image-classification (#281/386), image-segmentation (#139/198)

Other Information

Homepage URL: https://medium.com/tag/akshaj-wields-pytorch

All Topics

nlp pruning pytorch attention time-series deep-learning computer-vision machine-learning papers-with-code image-segmentation image-classification paper-implementation convolutional-networks natural-language-processing unsupervised-domain-adaptation

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updated: 2024-05-11 @ 01:32am, id: 238622534 / R_kgDODjkXRg