zhusuan
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thu-ml
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Most of the imports used in the examples are from Tensorflow 1.x and are not compatible with Tensorflow 2.x... Examples of faulty imports include, TensorFlow.contrib (no longer exists in TF...
Hi, I used ZhuSuan library to build bayesian lstm cell. I used the code that was in paper of you:ZhuSuan: A Library for Bayesian Deep python. But I got an...
Two issues in `vae_ssl.py` and `vae_ssl_adaptive_is.py` are fixed now: 1. The variable names `x_labeled` and `x_unlabeled` were reused. 2. The `n` in modelling of unlabeled part in `vae_ssl.py` should be...
There seems to be some little bugs in these examples. For example ` for t in range(iters): labeled_indices = (np.random.randint(0, n_labeled, size=batch_size)) x_labeled_batch = x_labeled[labeled_indices]` It throws the error that...
When I try to scale up my model, I find that `tf.scan` uses too much memory. Probably I have to use eager execution. How well does `HMC` and `SGMCMC` work...
Hi, authors, It would be very helpful if there's walkthrough jupyter notebook like this [one](http://nbviewer.jupyter.org/github/blei-lab/edward/blob/master/notebooks/iclr2017.ipynb) . Thanks!
Guess it's ready for review / discussion for design
It would really great if there is a way of constructing an easy way of switching between standard and natural parameters. This particularly is to address more advanced techniques such...