ritheshkumar95 / energy_based_generative_modelsLinks
PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
☆152Updated 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
- 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
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆108Updated 7 years ago
- ☆238Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- Pytorch Implementation of OpenAI's GLOW☆94Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVER…☆152Updated 6 years ago
- Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.☆117Updated 6 years ago
- ☆122Updated 2 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆140Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆81Updated 4 years ago
- ☆91Updated 6 years ago
- Hypergradient descent☆149Updated last year
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 4 years ago
- implements optimal transport algorithms in pytorch☆99Updated 3 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 6 years ago
- Implementation of Real NVP in PyTorch☆233Updated 5 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- ☆42Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago