ritheshkumar95 / energy_based_generative_modelsLinks
PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
☆151Updated 5 years ago
Alternatives and similar repositories for energy_based_generative_models
Users that are interested in energy_based_generative_models are comparing it to the libraries listed below
Sorting:
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago
- Pytorch Implementation of OpenAI's GLOW☆94Updated 4 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆352Updated 2 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- ☆238Updated 6 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Quantitative evaluation of disentangled representations☆62Updated 7 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 6 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- ☆77Updated 2 months ago
- ☆91Updated 6 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆108Updated 7 years ago
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- ☆123Updated 5 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 8 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆40Updated 6 years ago
- Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.☆117Updated 6 years ago
- This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…☆72Updated 6 years ago
- ☆68Updated 6 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- A machine learning library for PyTorch☆92Updated 2 years ago
- PyTorch implementation of Adversarially Learned Inference (BiGAN).☆80Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 4 years ago