Akash Srivastava akashgit

• IBM, RedHat, MIT, IBM previously University of Edinburgh, Microsoft Research

• Cambridge, US
• 13:34 (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

Organizations

Pinned Loading

1. Tensorflow implementation for prodLDA and NVLDA.

   Python 255 52

2. VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

   Jupyter Notebook 40 12

3. 1

   def ring(batchsize, num_cluster=8, scale=1, std=.01,**kwargs):

   2

       pi_= tf.constant(np.pi)

   3

       rand_indices = tf.random_uniform([batchsize], minval=0, maxval=num_cluster, dtype=tf.int32)

   4

       base_angle = pi_ * 2 / num_cluster

   5

       angle = (base_angle * tf.cast(rand_indices,dtype=float32)) - (pi_ / 2)

4. Betty 2.0 — A peer programming agent that makes developers superusers of Claude Code. Learns preferences, amplifies intent, and delegates safely.

   Python 1