ericyangyu/PPO-for-Beginners

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

1.2k 159 +0/wk

GitHub

machine-learning ppo pytorch reinforcement-learning reinforcement-learning-algorithms

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Star & Fork Trend (19 data points)

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Forks

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GitHub

stars 1.2k

forks 159

Growth Velocity

ericyangyu/PPO-for-Beginners has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric	PPO-for-Beginners	awesome-relation-extraction	AdvancedEAST	data-science-portfolio
Stars	1.2k	1.2k	1.2k	1.2k
Forks	159	134	379	449
Weekly Growth	+0	+0	+0	+0
Language	Python	N/A	Python	Jupyter Notebook
Sources	1	1	1	1
License	MIT	N/A	MIT	MIT

Capability Radar vs awesome-relation-extraction

PPO-for-Beginners

awesome-relation-extraction

Maintenance Activity 0

Last code push 555 days ago.

Community Engagement 65

Fork-to-star ratio: 12.9%. 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.