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NBA Quant AI — Neural Network Models
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SOTA 2025-2026 neural architectures for NBA game prediction.
All models conform to the same interface:
- fit(X_train, y_train, X_val, y_val)
- predict_proba(X)
- get_params()
- save(path) / load(path)
Runs on HF Spaces (16 GB RAM, CPU-only PyTorch).
"""
from .neural_models import (
LSTMSequenceModel,
TransformerAttentionModel,
TabNetModel,
FTTransformerModel,
DeepEnsemble,
ConformalPredictionWrapper,
AutoGluonEnsemble,
NEURAL_MODEL_REGISTRY,
)
__all__ = [
"LSTMSequenceModel",
"TransformerAttentionModel",
"TabNetModel",
"FTTransformerModel",
"DeepEnsemble",
"ConformalPredictionWrapper",
"AutoGluonEnsemble",
"NEURAL_MODEL_REGISTRY",
]
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