abdulfatir / normalizing-flows
Understanding normalizing flows
☆131Updated 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
- ☆179Updated 5 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆137Updated 4 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
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Tutorial on normalizing flows.☆298Updated 7 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆81Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆231Updated 6 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆126Updated 6 years ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- ☆89Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- ☆37Updated 5 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆27Updated 6 years ago
- Code for Neural Spline Flows paper☆264Updated 4 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆275Updated last year
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆164Updated 4 years ago