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 3 years ago)

Stargazers 63 (0 this week)

Watchers 4 (0 this week)

Forks 22

License gpl-3.0

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RepositoryStats indexes 595,856 repositories, of these theairbend3r/how-to-train-your-neural-net is ranked #402,313 (32nd percentile) for total stargazers, and #377,401 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #10,296/17,543.

theairbend3r/how-to-train-your-neural-net is also tagged with popular topics, for these it's ranked: deep-learning (#6,335/8512), machine-learning (#6,028/8063), pytorch (#4,479/6025), computer-vision (#2,266/3130), nlp (#1,821/2430), natural-language-processing (#1,097/1429), time-series (#504/672), image-classification (#288/399), image-segmentation (#148/207)

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