HO
sudharsan13296/Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
862 324 +0/wk
GitHub
asynchronous-advantage-actor-critic deep-deterministic-policy-gradient deep-learning-algorithms deep-q-network deep-recurrent-q-network deep-reinforcement-learning double-dqn drqn dueling-dqn hindsight-experience-replay markov-decision-processes monte-carlo
Trend
0
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
sudharsan13296/Hands-On-Reinforcement-Learning-With-Python has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Hands-On-Reinforcement-Learning-With-Python | deep-learning-from-scratch-3 | statespace | mlens |
|---|---|---|---|---|
| Stars | 862 | 862 | 862 | 862 |
| Forks | 324 | 331 | 67 | 111 |
| Weekly Growth | +0 | +0 | -2 | +0 |
| Language | Jupyter Notebook | Python | Rust | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | MIT | MIT |
Capability Radar vs deep-learning-from-scratch-3
Hands-On-Reinforcement-Learning-With-Python
deep-learning-from-scratch-3
Maintenance Activity 0
Last code push 2009 days ago.
Community Engagement 100
Fork-to-star ratio: 37.6%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.