Publication date
November 2022
DOIAbstract
add initial pytorch supernet for conv1d add initial pytorch-lightning single model trainer refactored tests based on backend update readm
add initial pytorch supernet for conv1d add initial pytorch-lightning single model trainer refactored tests based on backend update readm
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplat
[0.7.2] - 2020-04-07 Added Added same step loggers' metrics aggregation (#1278) Added parity test b...
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplat
Added command-line interface amber-cli for switching backends and for placeholder for future CLI acc...
Added unit tests to 68% test coverage Add amber.AmberSpecifications for easier run configuration Fix...
Initial backend migration to PyTorch: amber.backend Testing coverage for TF1/Keras backend reaching ...
added unit testing for ~50% tested coverage merged branched model, zero-shot descriptors fixed minor...
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, ...
Refactored implementation of CenterNet (Objects as Points - Zhou, Xingyi et. al.) shipping with PyTo...
This release focused on a ton of bug fixes, small optimizations to training but most importantly, cl...
Added a new task - Self Supervised Learning (SSL) and a separate training API for it. Added new SOTA...
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplat
What's Changed The main one is the change of training scheme for deep models which has moved to the...
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplat
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplat
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplat
[0.7.2] - 2020-04-07 Added Added same step loggers' metrics aggregation (#1278) Added parity test b...
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplat
Added command-line interface amber-cli for switching backends and for placeholder for future CLI acc...
Added unit tests to 68% test coverage Add amber.AmberSpecifications for easier run configuration Fix...
Initial backend migration to PyTorch: amber.backend Testing coverage for TF1/Keras backend reaching ...
added unit testing for ~50% tested coverage merged branched model, zero-shot descriptors fixed minor...
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, ...
Refactored implementation of CenterNet (Objects as Points - Zhou, Xingyi et. al.) shipping with PyTo...
This release focused on a ton of bug fixes, small optimizations to training but most importantly, cl...
Added a new task - Self Supervised Learning (SSL) and a separate training API for it. Added new SOTA...
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplat
What's Changed The main one is the change of training scheme for deep models which has moved to the...
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplat
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplat
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplat
[0.7.2] - 2020-04-07 Added Added same step loggers' metrics aggregation (#1278) Added parity test b...
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplat
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