abdulfatir / normalizing-flowsLinks
Understanding normalizing flows
☆132Updated 5 years ago
Alternatives and similar repositories for normalizing-flows
Users that are interested in normalizing-flows are comparing it to the libraries listed below
Sorting:
- ☆180Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- The collection of recent papers about variational inference☆85Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Normalizing Flows in Jax☆108Updated 4 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Tutorial on normalizing flows.☆300Updated 7 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆234Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 3 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆165Updated 4 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆28Updated 7 years ago
- PyTorch implementation of Neural Processes☆88Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Masked Autoregressive Flow☆213Updated 10 months ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆113Updated 6 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆279Updated last year
- ☆37Updated 5 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago