ZhimingZhou / AdaShift-LGANs-MaxGP-refactoredLinks
This is a joint implementation of AdaShift optimizer, LGANs, and MaxGP.
☆14Updated 5 years ago
Alternatives and similar repositories for AdaShift-LGANs-MaxGP-refactored
Users that are interested in AdaShift-LGANs-MaxGP-refactored are comparing it to the libraries listed below
Sorting:
- HSML for ICML 2019☆51Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆230Updated 7 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 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
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- The collection of recent papers about variational inference☆84Updated 5 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆154Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- ☆44Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆146Updated 2 years ago
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆14Updated 5 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆432Updated 8 years ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 5 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- implements optimal transport algorithms in pytorch☆100Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 4 years ago
- PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution☆211Updated 7 years ago
- ☆91Updated 3 years ago
- Learnable Graph Discovery☆10Updated 6 years ago
- ☆24Updated 4 years ago
- code release for the NIPS 2016 paper☆28Updated 8 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- ☆63Updated 5 years ago
- ☆12Updated 4 years ago
- ☆67Updated 5 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆357Updated 2 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago