labml.ai client library
Experiment
Create Experiment
Checkpoints
Configurations & Hyper-parameters
Bundle checkpoints
Distirbuted training
Utilities
Tracker
Track
Step
Setup
Namespaces
Helpers
Framework Integrations
FastAI
Keras
PyTorch Lightning
Monitor
Basic
Iterators
Loop
Analytics
Get data
Plot
Configs
Dynamic Hyper-parameters
Logger
Styling
Lab
Manage
Utils
Cache
Keyboard Interrupt
Downloading
PyTorch
Helpers
Configurable Modules
Datasets
Text Datasets
Schedules
Metrics
Utilies
labml.ai client library
Docs
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Index
Index
A
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B
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C
|
D
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E
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F
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G
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H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
|
W
A
Accuracy (class in labml_helpers.metrics.accuracy)
AccuracyDirect (class in labml_helpers.metrics.accuracy)
add() (in module labml.tracker)
add_global_step() (in module labml.tracker)
add_model_savers() (in module labml.experiment)
add_pytorch_models() (in module labml.experiment)
add_sklearn_models() (in module labml.experiment)
aggregate() (in module labml.configs)
artifact_data() (in module labml.analytics)
B
BaseConfigs (class in labml.configs)
BinaryAccuracy (class in labml_helpers.metrics.accuracy)
binned_heatmap() (in module labml.analytics)
black (labml.logger.Color attribute)
blue (labml.logger.Color attribute)
bold (labml.logger.Style attribute)
C
cache() (in module labml.utils.cache)
cache_get() (in module labml.utils.cache)
cache_set() (in module labml.utils.cache)
calculate() (in module labml.configs)
CIFAR10Configs (class in labml_helpers.datasets.cifar10)
Collector (class in labml_helpers.metrics.collector)
Color (class in labml.logger)
configs() (in module labml.experiment)
configure() (in module labml.lab)
create() (in module labml.experiment)
CsvDataset (class in labml_helpers.datasets.csv)
cyan (labml.logger.Color attribute)
D
danger (labml.logger.Text attribute)
DelayedKeyboardInterrupt (class in labml.utils.delayed_keyboard_interrupt)
DeviceConfigs (class in labml_helpers.device)
distributed() (in module labml.experiment)
distribution() (in module labml.analytics)
download_file() (in module labml.utils.download)
Dynamic (class in labml_helpers.schedule)
DynamicHyperParam (class in labml.configs)
E
enum() (in module labml.monit)
evaluate() (in module labml.experiment)
extract_tar() (in module labml.utils.download)
F
fail() (in module labml.monit)
finish_loop() (in module labml.monit)
Flat (class in labml_helpers.schedule)
FloatDynamicHyperParam (class in labml.configs)
func() (in module labml.monit)
G
get_data_path() (in module labml.lab)
get_device() (in module labml.utils.pytorch)
get_experiments_path() (in module labml.lab)
get_global_step() (in module labml.tracker)
get_modules() (in module labml.utils.pytorch)
get_path() (in module labml.lab)
get_run() (in module labml.analytics)
get_uuid() (in module labml.experiment)
green (labml.logger.Color attribute)
H
heading (labml.logger.Text attribute)
highlight (labml.logger.Text attribute)
histogram() (in module labml.analytics)
hyperparams() (in module labml.configs)
I
indicator_data() (in module labml.analytics)
IndicatorCollection (class in labml.analytics)
inspect() (in module labml.logger)
IntDynamicHyperParam (class in labml.configs)
iterate() (in module labml.monit)
K
key (labml.logger.Text attribute)
L
labml.analytics
module
labml.configs
module
labml.experiment
module
labml.lab
module
labml.logger
module
labml.manage
module
labml.monit
module
labml.tracker
module
LabMLFastAICallback (class in labml.utils.fastai)
LabMLKerasCallback (class in labml.utils.keras)
LabMLLightningLogger (class in labml.utils.lightning)
light (labml.logger.Style attribute)
link (labml.logger.Text attribute)
load() (in module labml.experiment)
(labml.experiment.ModelSaver method)
load_bundle() (in module labml.experiment)
load_configs() (in module labml.experiment)
load_models() (in module labml.experiment)
log() (in module labml.logger)
loop() (in module labml.monit)
M
meta (labml.logger.Text attribute)
meta2 (labml.logger.Text attribute)
meta_config() (in module labml.configs)
Metric (class in labml_helpers.metrics)
mix() (in module labml.monit)
MNISTConfigs (class in labml_helpers.datasets.mnist)
ModelSaver (class in labml.experiment)
module
labml.analytics
labml.configs
labml.experiment
labml.lab
labml.logger
labml.manage
labml.monit
labml.tracker
Module (class in labml_helpers.module)
N
namespace() (in module labml.tracker)
new_line() (in module labml.tracker)
new_run() (in module labml.manage)
new_run_process() (in module labml.manage)
none (labml.logger.Color attribute)
(labml.logger.Style attribute)
(labml.logger.Text attribute)
normal (labml.logger.Style attribute)
O
OptimizerConfigs (class in labml_helpers.optimizer)
option() (in module labml.configs)
orange (labml.logger.Color attribute)
P
Piecewise (class in labml_helpers.schedule)
progress() (in module labml.monit)
purple (labml.logger.Color attribute)
R
RecallPrecision (class in labml_helpers.metrics.recall_precision)
record() (in module labml.experiment)
red (labml.logger.Color attribute)
RelativePiecewise (class in labml_helpers.schedule)
reset() (in module labml.tracker)
runs() (in module labml.analytics)
S
save() (in module labml.tracker)
(labml.experiment.ModelSaver method)
save_bundle() (in module labml.experiment)
save_checkpoint() (in module labml.experiment)
save_numpy() (in module labml.experiment)
scatter() (in module labml.analytics)
Schedule (class in labml_helpers.schedule)
section() (in module labml.monit)
SeedConfigs (class in labml_helpers.seed)
SequentialDataLoader (class in labml_helpers.datasets.text)
SequentialUnBatchedDataset (class in labml_helpers.datasets.text)
set_global_step() (in module labml.tracker)
set_histogram() (in module labml.tracker)
set_image() (in module labml.tracker)
set_indexed_scalar() (in module labml.tracker)
set_indexed_text() (in module labml.tracker)
set_preferred_db() (in module labml.analytics)
set_queue() (in module labml.tracker)
set_scalar() (in module labml.tracker)
set_tensor() (in module labml.tracker)
set_text() (in module labml.tracker)
SimpleState (class in labml_helpers.metrics.simple_state)
SimpleStateModule (class in labml_helpers.metrics.simple_state)
SimpleTrainValidConfigs (class in labml_helpers.train_valid)
start() (in module labml.experiment)
StateModule (class in labml_helpers.metrics)
store_model_indicators() (in module labml.utils.pytorch)
store_optimizer_indicators() (in module labml.utils.pytorch)
Style (class in labml.logger)
StyleCode (class in labml.logger)
subtle (labml.logger.Text attribute)
success (labml.logger.Text attribute)
T
Text (class in labml.logger)
TextDataset (class in labml_helpers.datasets.text)
TextFileDataset (class in labml_helpers.datasets.text)
title (labml.logger.Text attribute)
TrainingLoopConfigs (class in labml_helpers.training_loop)
TrainValidConfigs (class in labml_helpers.train_valid)
U
underline (labml.logger.Style attribute)
V
value (labml.logger.Text attribute)
W
warning (labml.logger.Text attribute)
white (labml.logger.Color attribute)