jshe / wasserstein-2Links
☆13Updated 6 years ago
Alternatives and similar repositories for wasserstein-2
Users that are interested in wasserstein-2 are comparing it to the libraries listed below
Sorting:
- ☆30Updated 4 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- ☆54Updated last year
- Scaled MMD GAN☆36Updated 5 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆57Updated 2 years ago
- [AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks☆24Updated 5 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 11 months ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- ☆64Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆56Updated last year
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆48Updated 7 months ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Convex potential flows☆84Updated 3 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆27Updated 5 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆24Updated 3 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 7 years ago
- Implementation of Information Dropout☆39Updated 8 years ago