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alphafold3_pytorch/alphafold3.py

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@@ -1962,7 +1962,7 @@ def __init__(
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rho = 7, # controls the sampling schedule
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P_mean = -1.2, # mean of log-normal distribution from which noise is drawn for training
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P_std = 1.5, # standard deviation of log-normal distribution from which noise is drawn for training
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S_churn = 80, # parameters for stochastic sampling - depends on dataset, Table 5 in apper
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S_churn = 80, # parameters for stochastic sampling - depends on dataset, Table 5 in paper
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S_tmin = 0.05,
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S_tmax = 50,
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S_noise = 1.003,

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