MA
iffiX/machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
418 51 +0/wk
GitHub
a3c-pytorch ddpg deep-learning distributed dqn ppo prioritized-experience-replay python pytorch pytorch-lightning pytorch-reinforcement-learning reinforcement-learning
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0
Star & Fork Trend (19 data points)
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iffiX/machin has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | machin | EdgeChains | rad | artificio |
|---|---|---|---|---|
| Stars | 418 | 417 | 419 | 420 |
| Forks | 51 | 93 | 75 | 214 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | JavaScript | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | AGPL-3.0 | N/A | Apache-2.0 |
Capability Radar vs EdgeChains
machin
EdgeChains
Maintenance Activity 0
Last code push 1704 days ago.
Community Engagement 61
Fork-to-star ratio: 12.2%. 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.