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  • MIT, IBM, University of Edinburgh, previously Microsoft Research and Microsoft
  • Cambridge, US | Edinburgh | Reading | Sheffield, UK

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  1. autoencoding_vi_for_topic_models autoencoding_vi_for_topic_models Public

    Tensorflow implementation for prodLDA and NVLDA.

    Python 252 51

  2. VEEGAN VEEGAN Public

    VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

    Jupyter Notebook 40 12

  3. GRAM-nets/GRAMFlow GRAM-nets/GRAMFlow Public

    Offical TensorFlow implementation of GRAM-nets

    Python 1

  4. GAN_RING.py GAN_RING.py
    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)
  5. pytorch-avitm pytorch-avitm Public

    Forked from hyqneuron/pytorch-avitm

    PyTorch implementation of AVITM

    Python 2