stock-prediction-deep-neural-learning JordiCorbilla · PARTIAL
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
github.com/JordiCorbilla/stock-prediction-deep-neural-learning · ★ 689 · Forks 126 · Size 54.6 MB
SUMMARY
Technologies 12
Scored 11
Observed 11
Practices 6
Evidence 14
Skips 1
COVERAGE
Analyzed 81 files · 358 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
1 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
10 files · PRODUCTION
YAML LANGUAGE Depth 70
8 files · PRODUCTION
Python LANGUAGE Depth 70
32 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 85
14 files · PRODUCTION, TEST
RabbitMQ MESSAGE_BROKER Depth 69
2 files · CONFIGURATION
Ruff QUALITY Depth —
0 files · config only
pandas LIBRARY Depth 85
14 files · PRODUCTION, TEST
pytest TESTING Depth 49
3 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2020-07-01
Last commit 2026-09-28
Active months 14
Commits 358