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GitHub / haihabi / PyNNcml
Library for rain estimation and detection built with PyTorch. This library provides an implementation of algorithms for extracting rain-rate using data from commercial microwave links (CMLs). Addinaly this project provide an example dataset with data from two CMLs and implementation of performance and robustness metrics
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haihabi%2FPyNNcml
Stars: 8
Forks: 7
Open Issues: 0
License: mit
Language: Python
Repo Size: 3.86 MB
Dependencies:
5
Created: almost 5 years ago
Updated: about 1 month ago
Last pushed: 8 months ago
Last synced: 3 days ago
Commit Stats
Commits: 82
Authors: 5
Mean commits per author: 16.4
Development Distribution Score: 0.488
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/haihabi/PyNNcml
Topics: cml, deep-learning, power-law, rain, recurrent-neural-networks
Files
Dependencies
- matplotlib *
- numpy *
- scipy *
- torch *
- torchvision *