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skumar889
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semiconductor-pipeline
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semiconductor-pipeline / scripts
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  • 4 contributors
History: 2 commits
Sai Kumar Taraka
Improve ML models for production: coverage predictor ensemble (MLP/XGBoost/LightGBM + conformal), deep RL with neural Q-network/SAC/cosine decay, adaptive ensemble weights, semantic model registry with staging, production training script, HF Space sync
cf8b4c3 2 months ago
  • run_backend.bat
    453 Bytes
    V2.1: Production Vite+React+FastAPI full stack 3 months ago
  • start_all.bat
    945 Bytes
    V2.1: Production Vite+React+FastAPI full stack 3 months ago
  • sync_to_hf_space.py
    5.64 kB
    Improve ML models for production: coverage predictor ensemble (MLP/XGBoost/LightGBM + conformal), deep RL with neural Q-network/SAC/cosine decay, adaptive ensemble weights, semantic model registry with staging, production training script, HF Space sync 2 months ago
  • train_production_model.py
    9.13 kB
    Improve ML models for production: coverage predictor ensemble (MLP/XGBoost/LightGBM + conformal), deep RL with neural Q-network/SAC/cosine decay, adaptive ensemble weights, semantic model registry with staging, production training script, HF Space sync 2 months ago