Python Module Index

b | c | d | f | i | l | m | n | p | r | s | t | v | w
 
b
batcher Collecting samples in mini-batches for GPU-based training.
booster Boosting of wrongly predicted samples
 
c
checkpoint Conveniency class to create checkpoints for network training.
cnn_predict Example nuts-ml pipeline for network predictions
cnn_train Example nuts-ml pipeline for viewing annotations and predictions
common Common nuts
config Handling of configuration files.
 
d
datautil Utility functions for non-image data
 
f
fileutil File system utilities.
 
i
imageutil Basic image processing utilities
 
l
logger Data logging
 
m
mlp_precit Example nuts-ml pipeline for prediction
mlp_predict Example nuts-ml pipeline for classification
mlp_train Example nuts-ml pipeline for training and evaluation
mlp_view_misclassified Example for showing misclassified examples
 
n
network Wrapper around other network APIs such as Lasagne or Keras to enable usage within nuts-flow. For instance, with a wrapped network one can write: samples >> build_batch >> network.train() >> log_loss >> Consume()
nutsml
    nutsml.batcher
    nutsml.booster
    nutsml.checkpoint
    nutsml.common
    nutsml.config
    nutsml.datautil
    nutsml.examples
    nutsml.examples.autoencoder
    nutsml.examples.autoencoder.runner
    nutsml.examples.cifar
    nutsml.examples.cifar.cnn_classify
    nutsml.examples.cifar.cnn_train
    nutsml.examples.cifar.read_images
    nutsml.examples.cifar.view_augmented_images
    nutsml.examples.cifar.view_data
    nutsml.examples.cifar.view_train_images
    nutsml.examples.cifar.write_images
    nutsml.examples.mnist
    nutsml.examples.mnist.cnn_classify
    nutsml.examples.mnist.cnn_train
    nutsml.examples.mnist.mlp_classify
    nutsml.examples.mnist.mlp_train
    nutsml.examples.mnist.mlp_view_misclassified
    nutsml.examples.mnist.read_images
    nutsml.examples.mnist.view_train_images
    nutsml.examples.mnist.write_images
    nutsml.fileutil
    nutsml.imageutil
    nutsml.logger
    nutsml.network
    nutsml.plotter
    nutsml.reader
    nutsml.stratify
    nutsml.transformer
    nutsml.viewer
    nutsml.writer
 
p
plotter Plotting of data, e.g. loss over epochs
 
r
read_images Example for reading and viewing of image data
reader Reading of sample data and images
 
s
stratify Stratification of sample sets
 
t
transformer Data and image transformations
 
v
view_augmented_images Example nuts-ml pipeline for viewing augmented image data
view_data Example nuts-ml pipeline viewing CIFAR-10 image data
view_train_images Example for showing images with transformation
viewer Viewing of sample data
 
w
write_images Example for writing of image data
writer Writing of sample and image data