plai-group / tvoLinks
Code for the Thermodynamic Variational Objective
☆26Updated 2 years ago
Alternatives and similar repositories for tvo
Users that are interested in tvo are comparing it to the libraries listed below
Sorting:
- ☆37Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 10 months ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- Reweighted Expectation Maximization☆29Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- code submission to NeurIPS2019☆13Updated last year
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- ☆64Updated last year
- ☆42Updated 6 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆49Updated 4 years ago
- Normalizing Flows in Jax☆108Updated 4 years ago
- ☆53Updated 10 months ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago