LabML
Guide
Installation & Setup
Lab
Create
.labml.yaml
file
Dashboard
Logger
Logging with colors
Logging debug info
Monitor
Iterators & Enumerators
Sections
Loop
Configs
Define a configuration class
Calculated configurations
Inheriting and re-using configuration classes
Defining configurations options
Calculating with predefined functions of lambdas
Aggregates
Hyper-parameters
Running the experiment
Tracker
Indicator settings
Experiment
Analytics
Load runs
Distribution plot
Scatter plot
Loading artifacts
Histogram
Binned heatmap
Python API
Lab
Configs
Experiment
Logger
Monitor
Tracker
Utils
Helpers
Installation
Modules
Datasets
Analytics
Manage
Links
🧠LabML NN: A collection of PyTorch implementations of neural network architectures and layers.
LabML
Docs
»
Index
Index
A
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B
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C
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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
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S
|
T
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U
|
V
|
W
A
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)
binned_heatmap() (in module labml.analytics)
black (labml.logger.Color attribute)
blue (labml.logger.Color attribute)
bold (labml.logger.Style attribute)
C
calculate() (in module labml.configs)
CIFAR10Configs (class in labml_helpers.datasets.cifar10)
Color (class in labml.logger)
configs() (in module labml.experiment)
configure() (in module labml.lab)
create() (in module labml.experiment)
cyan (labml.logger.Color attribute)
D
danger (labml.logger.Text attribute)
DeviceConfigs (class in labml_helpers.device)
distribution() (in module labml.analytics)
DynamicHyperParam (class in labml.configs)
E
enum() (in module labml.monit)
F
fail() (in module labml.monit)
finish_loop() (in module labml.monit)
FloatDynamicHyperParam (class in labml.configs)
G
get_data_path() (in module labml.lab)
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
labml.utils.pytorch
module
labml_helpers.datasets.cifar10
module
labml_helpers.datasets.mnist
module
labml_helpers.device
module
labml_helpers.seed
module
labml_helpers.train_valid
module
labml_helpers.training_loop
module
light (labml.logger.Style attribute)
link (labml.logger.Text attribute)
load() (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)
MNISTConfigs (class in labml_helpers.datasets.mnist)
module
labml.analytics
labml.configs
labml.experiment
labml.lab
labml.logger
labml.manage
labml.monit
labml.tracker
labml.utils.pytorch
labml_helpers.datasets.cifar10
labml_helpers.datasets.mnist
labml_helpers.device
labml_helpers.seed
labml_helpers.train_valid
labml_helpers.training_loop
N
namespace() (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
option() (in module labml.configs)
orange (labml.logger.Color attribute)
P
progress() (in module labml.monit)
purple (labml.logger.Color attribute)
R
record() (in module labml.experiment)
red (labml.logger.Color attribute)
reset() (in module labml.tracker)
runs() (in module labml.analytics)
S
save() (in module labml.tracker)
save_checkpoint() (in module labml.experiment)
save_numpy() (in module labml.experiment)
scatter() (in module labml.analytics)
section() (in module labml.monit)
SeedConfigs (class in labml_helpers.seed)
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_text() (in module labml.tracker)
start() (in module labml.experiment)
store_model_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)
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)