mokeddembillel / Amortized-SVGD-GANLinks
Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning
☆10Updated 3 years ago
Alternatives and similar repositories for Amortized-SVGD-GAN
Users that are interested in Amortized-SVGD-GAN are comparing it to the libraries listed below
Sorting:
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 7 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- A collection of meta-learning algorithms in Jax☆23Updated 3 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆29Updated 3 years ago
- Variational Reinforcement Learning☆16Updated last year
- Generalised UDRL☆37Updated 3 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆23Updated 5 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆47Updated 2 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated last year
- ☆58Updated 3 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 3 years ago
- Mixture density network implemented in PyTorch.☆152Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆130Updated last year
- ☆34Updated 5 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- Truncated Normal Distribution in PyTorch☆87Updated last year
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 5 years ago
- ☆32Updated 4 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Updated 2 years ago
- ☆13Updated 2 years ago
- Unofficial implementation of Variational Diffusion Models in PyTorch (Lightning)☆12Updated 2 years ago
- PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.☆19Updated last year
- Clockwork Variational Autoencoder☆50Updated 4 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆51Updated 4 years ago
- Implicit Distributional Actor Critic☆11Updated 4 years ago
- Code for Goal-Aware Prediction: Learning to Model what Matters☆20Updated 5 years ago