Issues
- 0
Tutorial 1 fails to start training
#154 opened by Novoneos - 0
text embedding in conditional gan
#153 opened by amine-boukriba - 0
Load model from file and sample images
#152 opened by dnvnxg - 1
- 4
DCGAN with images larger than 32x32
#150 opened by dnvnxg - 0
Example with a real dataset
#149 opened by alexorona - 0
Resuming training is unintuitive
#147 opened by free-mana - 0
- 0
Multi-attribute GAN support
#145 opened by thuongmhh - 3
Pytorch version
#144 opened by sixin-zh - 2
JOSS Review: Code coverage
#138 opened by NMontanaBrown - 0
GAN models for generating HD images
#140 opened by wangzizhe - 3
WGAN Penalty not Working
#21 opened by avik-pal - 1
Small mistake in residual.py
#136 opened by FelixAbrahamsson - 2
- 0
Refactor the Logger
#58 opened by avik-pal - 5
Deprecate the Trainer
#115 opened by avik-pal - 2
Mistake in CycleGAN tutorial about identity loss
#125 opened by Xaffle - 8
- 1
Two Time-Step Update Rule
#133 opened by PasqualeZingo - 1
- 6
Examples on Multivariate Time Series
#90 opened by kayuksel - 1
InfoGAN model error
#100 opened by Sumching - 0
List of publications & submissions using torchgan
#118 opened by avik-pal - 5
How to cite?
#111 opened by dsevero - 0
Docs should emphasize loss functions with logits
#116 opened by dsevero - 0
tests should be installed to torchgan subfolder
#112 opened by hubutui - 4
RGAN and RCGAN implementation
#110 opened by dsevero - 0
Expose functional API for losses
#70 opened by avik-pal - 1
- 5
Progressive growing of GANs?
#101 opened by shi-weili - 1
- 3
run on the 2080ti RuntimeError: cublas runtime error : the GPU program failed to execute at /pytorch/aten/src/THC/THCBlas.cu:116
#85 opened by xujin1184104394 - 0
- 5
Windows 10 installation not working
#78 opened by bosaving - 2
Fix coverage
#51 opened by avik-pal - 0
Support different backends for Visualization
#55 opened by avik-pal - 3
Add GAN models with inference networks
#80 opened by yatindandi - 0
No easy support for custom noise priors
#75 opened by Aniket1998 - 3
TypeError: __init__() missing 3 required positional arguments: 'optimizer_generator', 'optimizer_discriminator', and 'losses_list'
#77 opened by xfguo-ucas - 4
exect trainer = Trainer(dcgan_network, lsgan_losses, sample_size=64, epochs=epochs, device=device) errors:
#73 opened by CachCheng - 0
Resuming training is not reflected in Logger
#74 opened by avik-pal - 0
- 1
Improve Documentation
#19 opened by avik-pal - 0
Add tests for Loss Functions
#10 opened by avik-pal - 1
Evaluation Metrics
#9 opened by Aniket1998 - 1
Fix Gradient Visualization
#63 opened by avik-pal - 0
Fix directory creation for checkpoints
#49 opened by avik-pal - 1
Improve image sampling in the trainer
#46 opened by Aniket1998 - 0
Trainer can't deal with Losses with kwargs
#25 opened by avik-pal