joaomonteirof / hGAN
Hyper volume maximization for GAN training
☆25Updated 5 years ago
Alternatives and similar repositories for hGAN:
Users that are interested in hGAN are comparing it to the libraries listed below
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 5 years ago
- unsupervised video and image generation☆58Updated 4 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- Generative Model for Neural Networks☆24Updated 4 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- ☆21Updated 5 years ago
- ☆19Updated 4 years ago
- VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning☆40Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆43Updated 3 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆39Updated 6 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆81Updated 4 years ago
- Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆20Updated 6 years ago
- ☆51Updated 4 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Generator loss to reduce mode-collapse and to improve the generated samples quality.☆34Updated 5 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Implementation of Generative Moment Matching Networks in pytorch☆18Updated 6 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago