ml/

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Published: Apr 23, 2023 License: Apache-2.0

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Path Synopsis
Package context defines the Context and Variable types: Context organizes variablesMap and variablesMap manages the storage of values typically used as variablesMap.
Package context defines the Context and Variable types: Context organizes variablesMap and variablesMap manages the storage of values typically used as variablesMap.
checkpoints
Package checkpoints implements checkpoint management: saving and loading of checkpoints.
Package checkpoints implements checkpoint management: saving and loading of checkpoints.
ctxtest
Package ctxtest holds test utilities for packages that depend on context package.
Package ctxtest holds test utilities for packages that depend on context package.
initializers
Package initializers include several weight initializers, to be used with context.
Package initializers include several weight initializers, to be used with context.
Package data is a collection of tools that facilitate data loading and preprocessing.
Package data is a collection of tools that facilitate data loading and preprocessing.
Package layers holds a collection of common modeling layers.
Package layers holds a collection of common modeling layers.
Package train holds tools to help run a training loop.
Package train holds tools to help run a training loop.
commandline
Package commandline contains convenience UI training tools for the command line.
Package commandline contains convenience UI training tools for the command line.
losses
Package losses have several standard losses that implement train.LossFn interface.
Package losses have several standard losses that implement train.LossFn interface.
metrics
Package metrics holds a library of metrics and defines
Package metrics holds a library of metrics and defines
optimizers
Package optimizers implements a collection of ML optimizers, that can be used by train.Trainer, or by themselves.
Package optimizers implements a collection of ML optimizers, that can be used by train.Trainer, or by themselves.

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