Satellite_data parvvaresh · COMPLETED
This repository provides Python code for converting satellite data into a format suitable for deep learning models. It supports various deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory networks (LSTMs).
github.com/parvvaresh/Satellite_data · ★ 16 · Forks 0 · Size 15.8 MB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 5
Skips 0
COVERAGE
Analyzed 241 files · 85 commits · 0 API calls
TECHNOLOGIES & DEPTH
Python LANGUAGE Depth 70
11 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 74
4 files · PRODUCTION
pandas LIBRARY Depth 70
4 files · PRODUCTION
PRACTICES
documentation · absentautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2023-09-05
Last commit 2024-11-02
Active months 9
Commits 85