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Recent Releases of https://github.com/chrislisbon/torchcnnbuilder

https://github.com/chrislisbon/torchcnnbuilder - v0.1.4

New features: - adding the ability to work with latent space dimensions through the new LatentSpaceModule - adding new LatentSpaceModule block to the ForecasterBase with corresponding features - updating corresponding doc examples

Code refactor: - minor code refactoring - updating some doc examples

- Python
Published by kdduha over 1 year ago

https://github.com/chrislisbon/torchcnnbuilder - v0.1.3

  • fixing calculating of channels in Builder using proportion

- Python
Published by kdduha over 1 year ago

https://github.com/chrislisbon/torchcnnbuilder - v0.1.2

  • Fixing padding bug in convolution blocks of several convolution layers
  • Removing mandatory initialization of input_size in Builder (+ adding new validations for create sequence builder methods)
  • Improving typing of function parameters
  • Improving Builder class encapsulation
  • Restructuring code namespaces
  • Updating and improving doc examples

- Python
Published by kdduha over 1 year ago

https://github.com/chrislisbon/torchcnnbuilder - v0.1.1

  • updating ForecasterBase interface
  • fixing bug with 3d decoder output in ForecasterBase
  • adding new validation functions
  • updating doc
  • updating linter script
  • renaming channel growth param value ratio -> exponential
  • adding new channel growth param value power (now by default in ForecasterBase)

- Python
Published by kdduha over 1 year ago

https://github.com/chrislisbon/torchcnnbuilder - v0.1.0

Code refactoring: - decomposition of functions into different files - restructuring of namespaces during import - adding a linter pipeline after each push action in pull-requests - adding a linter script for the developers - refactoring all code logic with linter - updating doc

New features: - new normalization in the convolution block as InstanceNormNd - new adaptive pooling in the decoder as AdaptiveMaxPoolNd - new channels counters like linear and constant - ascending param is replaced by channel_growth_rate which can be ratio (same as ascending = False), proportion (same asascending = True),linearandconstant - new 3d convolutions inForecasterBase`

- Python
Published by kdduha over 1 year ago