ashwindcruz / dgm
Deep Generative Models (Chainer)
☆10Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for dgm
- ☆29Updated 2 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆35Updated last year
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated last year
- ☆31Updated 4 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆27Updated 6 years ago
- ☆19Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆16Updated 2 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- Keras implementation of Deep Wasserstein Embeddings☆46Updated 6 years ago
- Nonlinear SVGD for Learning Diversified Mixture Models☆12Updated 5 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- Sliced Wasserstein Generator☆23Updated 6 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆27Updated 5 years ago
- ☆12Updated 5 years ago
- EigenPro2 iteration in Tensorflow (Keras)☆23Updated 5 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Variational Autoencoders & Normalizing Flows Project☆19Updated 7 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆26Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆29Updated 5 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆36Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 3 weeks ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆13Updated 5 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago