UnetDif / config.json
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{
"model_name": "UnetDif",
"model_type": "unetdif",
"architectures": ["UnetDif"],
"framework": "PyTorch",
"domain": "atmosphere",
"task": "ECMWF precipitation bias correction",
"license": "cc-by-nc-nd-4.0",
"implementation": {
"entry_point": "model/unetdif.py",
"train_script": "scripts/train.py",
"inference_script": "scripts/inference.py",
"evaluation_script": "scripts/result.py",
"synthetic_data_script": "scripts/fake_data.py"
},
"architecture": {"input_channels": 39, "output_heads": 4, "base_channels": 8, "depth": 3, "paper_base_channels": null, "paper_depth": null},
"data": {"region": "YRD", "resolution_degrees": 0.125, "shape": ["rain_day", 8, 39, 56, 56], "lead_hours": [15, 18, 21, 24, 27, 30, 33, 36]}
}