labml library

API

  • Experiment
    • Create Experiment
      • create()
      • record()
      • evaluate()
      • start()
      • get_uuid()
    • Checkpoints
      • load()
      • load_models()
      • save_checkpoint()
      • add_pytorch_models()
      • add_sklearn_models()
      • add_model_savers()
      • ModelSaver
        • ModelSaver.save()
        • ModelSaver.load()
    • Configurations & Hyper-parameters
      • configs()
      • load_configs()
    • Bundle checkpoints
      • save_bundle()
      • load_bundle()
    • Distirbuted training
      • distributed()
    • Utilities
      • save_numpy()
  • Tracker
    • Track
      • save()
      • add()
    • Step
      • set_global_step()
      • add_global_step()
      • get_global_step()
    • Setup
      • set_queue()
      • set_histogram()
      • set_scalar()
      • set_indexed_scalar()
      • set_image()
      • set_text()
      • set_tensor()
      • set_indexed_text()
    • Namespaces
      • namespace()
    • Helpers
      • reset()
      • new_line()
  • Framework Integrations
    • FastAI
      • LabMLFastAICallback
    • Keras
      • LabMLKerasCallback
    • PyTorch Lightning
      • LabMLLightningLogger
  • Monitor
    • Basic
      • section()
      • func()
      • progress()
      • fail()
    • Iterators
      • iterate()
      • enum()
      • mix()
    • Loop
      • loop()
      • finish_loop()
  • Analytics
    • Probing
      • ModelProbe
        • ModelProbe.parameters
        • ModelProbe.forward_input
        • ModelProbe.forward_output
        • ModelProbe.backward_input
        • ModelProbe.backward_output
      • ValueCollection
        • ValueCollection.get_value()
        • ValueCollection.get_list()
        • ValueCollection.get_dict()
        • ValueCollection.deep()
      • DeepValueCollection
        • DeepValueCollection.get_value()
        • DeepValueCollection.get_list()
        • DeepValueCollection.get_dict()
    • Get data
      • runs()
      • get_run()
      • set_preferred_db()
      • indicator_data()
      • artifact_data()
      • IndicatorCollection
    • Plot
      • distribution()
      • scatter()
      • binned_heatmap()
      • histogram()
  • Configs
    • BaseConfigs
    • option()
    • calculate()
    • hyperparams()
    • meta_config()
    • aggregate()
    • Dynamic Hyper-parameters
      • DynamicHyperParam
      • FloatDynamicHyperParam
      • IntDynamicHyperParam
  • Logger
    • log()
    • inspect()
    • Styling
      • Text
        • Text.danger
        • Text.heading
        • Text.highlight
        • Text.key
        • Text.link
        • Text.meta
        • Text.meta2
        • Text.none
        • Text.subtle
        • Text.success
        • Text.title
        • Text.value
        • Text.warning
      • Style
        • Style.bold
        • Style.light
        • Style.none
        • Style.normal
        • Style.underline
      • Color
        • Color.black
        • Color.blue
        • Color.cyan
        • Color.green
        • Color.none
        • Color.orange
        • Color.purple
        • Color.red
        • Color.white
      • StyleCode
  • Lab
    • get_info()
    • get_path()
    • get_data_path()
    • get_experiments_path()
    • configure()
  • Manage
    • new_run()
    • new_run_process()
  • Utils
    • Cache
      • cache()
      • cache_get()
      • cache_set()
    • Keyboard Interrupt
      • DelayedKeyboardInterrupt
    • Downloading
      • download_file()
      • extract_tar()
    • PyTorch
      • store_model_indicators()
      • store_optimizer_indicators()
      • get_modules()
      • get_device()
  • Helpers
    • Configurable Modules
      • DeviceConfigs
      • SeedConfigs
      • OptimizerConfigs
      • TrainingLoopConfigs
      • TrainValidConfigs
      • SimpleTrainValidConfigs
    • Datasets
      • MNISTConfigs
      • CIFAR10Configs
      • CsvDataset
      • Remote
        • DatasetServer
        • RemoteDataset
      • Text Datasets
        • TextDataset
        • TextFileDataset
        • SequentialDataLoader
        • SequentialUnBatchedDataset
    • Schedules
      • Schedule
      • Flat
      • Dynamic
      • Piecewise
      • RelativePiecewise
    • Metrics
      • StateModule
      • Metric
      • Accuracy
      • BinaryAccuracy
      • AccuracyDirect
      • Collector
      • RecallPrecision
      • SimpleStateModule
      • SimpleState
    • Utilies
      • Module

CLI

  • labml
    • Synopsis
    • Options
      • Commands
labml library
  • Docs »
  • Overview: module code

All modules for which code is available

  • labml.analytics
  • labml.configs
  • labml.experiment
  • labml.internal.analytics.models
  • labml.internal.configs.dynamic_hyperparam
  • labml.internal.experiment
  • labml.internal.util.colors
  • labml.lab
  • labml.logger
  • labml.manage
  • labml.monit
  • labml.tracker
  • labml.utils.cache
  • labml.utils.delayed_keyboard_interrupt
  • labml.utils.download
  • labml.utils.fastai
  • labml.utils.keras
  • labml.utils.lightning
  • labml.utils.pytorch
  • labml_helpers.datasets.cifar10
  • labml_helpers.datasets.csv
  • labml_helpers.datasets.mnist
  • labml_helpers.datasets.remote.client
  • labml_helpers.datasets.remote.server
  • labml_helpers.datasets.text
  • labml_helpers.device
  • labml_helpers.metrics
    • labml_helpers.metrics.accuracy
    • labml_helpers.metrics.collector
    • labml_helpers.metrics.recall_precision
    • labml_helpers.metrics.simple_state
  • labml_helpers.module
  • labml_helpers.optimizer
  • labml_helpers.schedule
  • labml_helpers.seed
  • labml_helpers.train_valid
  • labml_helpers.training_loop

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