AI Innovation Lead at RedHat AI | Chief Architect InstructLab @ MIT-IBM Lab, Previously, PhD w/ @casutton at UoE, RIKEN AIP (Tokyo), Microsoft Research
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RedHat, MIT, IBM previously University of Edinburgh, Microsoft Research
- Cambridge, US
- http://akashgit.github.io/
- https://orcid.org/0000-0002-6218-1770
- https://scholar.google.com/citations?user=2h6SZeEAAAAJ&hl=en
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autoencoding_vi_for_topic_models
autoencoding_vi_for_topic_models PublicTensorflow implementation for prodLDA and NVLDA.
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GRAM-nets/GRAMFlow
GRAM-nets/GRAMFlow PublicOffical TensorFlow implementation of GRAM-nets
Python 1
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GAN_RING.py
GAN_RING.py 1def ring(batchsize, num_cluster=8, scale=1, std=.01,**kwargs):
2pi_= tf.constant(np.pi)
3rand_indices = tf.random_uniform([batchsize], minval=0, maxval=num_cluster, dtype=tf.int32)
4base_angle = pi_ * 2 / num_cluster
5angle = (base_angle * tf.cast(rand_indices,dtype=float32)) - (pi_ / 2)
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pytorch-avitm
pytorch-avitm PublicForked from hyqneuron/pytorch-avitm
PyTorch implementation of AVITM
Python 2
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