MatN23/AdaptiveTrainingSystem
A PyTorch framework for training transformer language models with Mixture of Experts (MoE) architecture support, Mixture of Depths (MoD), and DeepSpeed integration. Implements models from 70M to 300B parameters with automatic dataset processing, distributed training, and memory management.
21
Stars
2
Forks
28.6
Radar Score
Stable
Momentum
Scoring Breakdown
Impact6.8
Velocity34.9
Health54.7
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
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🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
28.6
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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