Director Core AI, IBM | Founder AI Innovation Lead at RedHat AI | Post-training lead & PI @ MIT-IBM Lab, Previously, PhD @ UoE, RIKEN AIP (Tokyo), MSR
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IBM, RedHat, MIT, IBM previously University of Edinburgh, Microsoft Research
- Cambridge, US
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12:44
(UTC -04:00) - http://akashgit.github.io/
- https://orcid.org/0000-0002-6218-1770
- https://scholar.google.com/citations?user=2h6SZeEAAAAJ&hl=en
- in/dr-akash-sri
- @variational_i
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autoencoding_vi_for_topic_models
autoencoding_vi_for_topic_models PublicTensorflow implementation for prodLDA and NVLDA.
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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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