andrewgordonwilson/bayesgan
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
Jupyter NotebookNOASSERTION
Issues
- 0
SGD +momentum + noise "=" SGHMC
#18 opened by emiled16 - 0
d_losses is [None] while running ./run_bgan.py --data_path datasets --dataset mnist --num_mcmc 2 --out_dir ./results/ --train_iter 75000 --save_samples --n_save 100
#17 opened by khorshidisamira - 0
Missing bayesian_gan_hmc script?
#16 opened by yanntrividic - 0
The testing accuracy is not based on testing set, but rather manipulated result
#15 opened by WayneDW - 1
- 0
Why multiply d_loss_real by num_gen
#14 opened by Xiaohui9607 - 3
Multiple discriminator MC samples
#7 opened by ysaibhargav - 1
Question regarding train and test parameters
#13 opened by enochkan - 0
Is bgan optimizing standard deviations?
#12 opened by julie-jiang - 1
Add WGANGP to comparison
#4 opened by htt210 - 1
Custom data
#1 opened by usptact - 4
- 4
ValueError: Variable discriminator/d_bn1/moving_mean already exists, disallowed. Did you mean to set reuse=True or reuse=tf.AUTO_REUSE in VarScope?
#9 opened by howardgriffin - 4
Type error in semisupervised code
#10 opened by whilo - 3
- 2
- 2