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

Deep learning research implemented on notebooks using PyTorch.

Date Created 2020-02-06 (5 years ago)

Commits 68 (last one 3 years ago)

Stargazers 64 (0 this week)

Watchers 3 (0 this week)

Forks 21

License gpl-3.0

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RepositoryStats indexes 638,253 repositories, of these theairbend3r/how-to-train-your-neural-net is ranked #418,522 (34th percentile) for total stargazers, and #420,185 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #10,901/19,304.

theairbend3r/how-to-train-your-neural-net is also tagged with popular topics, for these it's ranked: deep-learning (#6,496/8848), machine-learning (#6,191/8458), pytorch (#4,597/6240), computer-vision (#2,371/3312), nlp (#1,850/2538), natural-language-processing (#1,121/1478), time-series (#521/705), image-classification (#296/421), image-segmentation (#154/217)

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: 2025-03-30 @ 09:47am, id: 238622534 / R_kgDODjkXRg