aws-deepracer / aws-deepracer-simulation-training-notebook
Provides a jailbreak experience of AWS DeepRacer, giving us more control over the training/simulation process and RL algorithm tuning
Summary
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| Main Code: 20,956 LOC (238 files) = PY (98%) + YAML (1%) Secondary code: Test: 408 LOC (10); Generated: 0 LOC (0); Build & Deploy: 191 LOC (9); Other: 2,553 LOC (27); |
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| Duplication: 11% | |||
| File Size: 5% long (>1000 LOC), 53% short (<= 200 LOC) | |||
| Unit Size: 5% long (>100 LOC), 49% short (<= 10 LOC) | |||
| Conditional Complexity: 3% complex (McCabe index > 50), 60% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (36 components) | ||
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7 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
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Features of interest:
TODOs
24 files |
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Latest commit date: 2021-11-12
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(30 days)
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