LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

1.3k 301 +0/wk

GitHub

artificial-neural-networks automated-machine-learning automl bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms

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Star & Fork Trend (18 data points)

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GitHub

stars 1.3k

forks 301

Growth Velocity

LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric	Hyperparameter-Optimization-of-Machine-Learning-Algorithms	walk-these-ways	awesome-model-based-RL	kitops
Stars	1.3k	1.3k	1.3k	1.3k
Forks	301	216	76	172
Weekly Growth	+0	+0	+0	+0
Language	Jupyter Notebook	Python	N/A	Go
Sources	1	1	1	1
License	MIT	NOASSERTION	Apache-2.0	Apache-2.0

Capability Radar vs walk-these-ways

Hyperparameter-Optimization-of-Machine-Learning-Algorithms

walk-these-ways

Maintenance Activity 0

Last code push 1295 days ago.

Community Engagement 100

Fork-to-star ratio: 22.7%. 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.