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ayansengupta17 / GAN

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We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

python machine-learning deep-neural-networks deep-learning discriminator generative-adversarial-network gan batch-normalization dcgan sentence cubs loss-functions skip-thought-vectors text-encodings mscoco mscoco-dataset dcgan-tensorflow tensrorflow stack-gan
  • Updated May 7, 2018
  • HTML

Encapsule / ARCcore

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arccore.filter should allow caller to specify a base RIS path

ChrisRus
ChrisRus commented Mar 27, 2020

Oftentimes we leverage arccore.filter to validate/normalize some branch of a larger data structure.

For example, we may have a large deserialized JSON document and need to process just a single branch of the whole with a filter.

In cases such as this it would be nice to be able to call the filter passing in a reference to the root of the branch in the data as the filter request in-param AND

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documentation enhancement error handling filter
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dpscience / DMLLTDetectorPulseDiscriminator

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DMLLTDetectorPulseDiscriminator - A supervised Machine Learning Approach for shape-sensitive Detector Pulse Discrimination in Lifetime Spectroscopy Applications

machine-learning opensource scikit-learn detector artificial-intelligence discriminator high-energy-physics materials-science time-of-flight scikitlearn-machine-learning lifescience fluorescence-microscopy-imaging positron-emission-tomography supervised-machine-learning pulse-detection gaussian-naive-bayes-implementation lifetime-spectroscopy positron-lifetime-spectra fluorescence-correlation scikit-learn-python
  • Updated Dec 25, 2019
  • Python

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