Added PFN models and reorganized the repository structure #8
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Adding the PFN models trained based on TICLv5 reconstruction information using a simple CNN/DNN-based approach. Two models were trained separately: one for trackster energy regression and one for particle ID, applied in different reconstruction steps—CLU3D (pattern recognition) and trackster linking. These models are saved in ONNX format for time optimization.