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chore: keyword
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pyproject.toml

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@@ -12,13 +12,13 @@ documentation = "https://pytorch-optimizers.readthedocs.io/en/latest"
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keywords = [
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"pytorch", "deep-learning", "optimizer", "lr scheduler", "A2Grad", "ASGD", "AccSGD", "AdaBelief", "AdaBound",
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"AdaDelta", "AdaFactor", "AdaMax", "AdaMod", "AdaNorm", "AdaPNM", "AdaSmooth", "AdaHessian", "Adai", "Adalite",
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"AdamP", "AdamS", "Adan", "AggMo", "Aida", "AliG", "Amos", "Apollo", "AvaGrad", "bSAM", "CAME", "DAdaptAdaGrad",
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"DAdaptAdam", "DAdaptAdan", "DAdaptSGD", "DAdaptLion", "DiffGrad", "FAdam", "Fromage", "GaLore", "Gravity",
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"GrokFast", "GSAM", "Kate", "Lamb", "LARS", "Lion", "LOMO", "Lookahead", "MADGRAD", "MSVAG", "Nero", "NovoGrad",
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"PAdam", "PCGrad", "PID", "PNM", "Prodigy", "QHAdam", "QHM", "RAdam", "Ranger", "Ranger21", "RotoGrad", "SAM",
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"ScheduleFreeSGD", "ScheduleFreeAdamW", "SGDP", "Shampoo", "ScalableShampoo", "SGDW", "SignSGD", "SM3", "SopihaH",
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"SRMM", "StableAdamW", "SWATS", "Tiger", "WSAM", "Yogi", "BCE", "BCEFocal", "Focal", "FocalCosine", "SoftF1",
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"Dice", "LDAM", "Jaccard", "Bi-Tempered", "Tversky", "FocalTversky", "LovaszHinge", "bitsandbytes", "WSD",
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"AdamMini", "AdamP", "AdamS", "Adan", "AggMo", "Aida", "AliG", "Amos", "Apollo", "AvaGrad", "bSAM", "CAME",
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"DAdaptAdaGrad", "DAdaptAdam", "DAdaptAdan", "DAdaptSGD", "DAdaptLion", "DiffGrad", "FAdam", "Fromage", "GaLore",
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"Gravity", "GrokFast", "GSAM", "Kate", "Lamb", "LARS", "Lion", "LOMO", "Lookahead", "MADGRAD", "MSVAG", "Nero",
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"NovoGrad", "PAdam", "PCGrad", "PID", "PNM", "Prodigy", "QHAdam", "QHM", "RAdam", "Ranger", "Ranger21", "RotoGrad",
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"SAM", "ScheduleFreeSGD", "ScheduleFreeAdamW", "SGDP", "Shampoo", "ScalableShampoo", "SGDW", "SignSGD", "SM3",
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"SopihaH", "SRMM", "StableAdamW", "SWATS", "Tiger", "WSAM", "Yogi", "BCE", "BCEFocal", "Focal", "FocalCosine",
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"SoftF1", "Dice", "LDAM", "Jaccard", "Bi-Tempered", "Tversky", "FocalTversky", "LovaszHinge", "bitsandbytes", "WSD",
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]
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classifiers = [
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"License :: OSI Approved :: Apache Software License",

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