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idreesshaikh/Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
544 91 +0/wk
GitHub
autonomous-driving carla-driving-simulator carla-environment carla-simulator ddqn deep-learning deep-learning-algorithms deep-reinforcement-learning openai ppo proximal-policy-optimization pytorch
Trend
0
Star & Fork Trend (25 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
idreesshaikh/Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning | cliport | happy-transformer | ChatLearner |
|---|---|---|---|---|
| Stars | 544 | 544 | 544 | 544 |
| Forks | 91 | 94 | 68 | 206 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | Apache-2.0 | Apache-2.0 |
Capability Radar vs cliport
Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning
cliport
Maintenance Activity 19
Last code push 147 days ago.
Community Engagement 84
Fork-to-star ratio: 16.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.