ex4sperans / variational-inference-with-normalizing-flowsLinks
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
☆235Updated 7 years ago
Alternatives and similar repositories for variational-inference-with-normalizing-flows
Users that are interested in variational-inference-with-normalizing-flows are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Neural Processes for functions and images☆233Updated 3 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆280Updated last year
- Masked Autoregressive Flow☆217Updated last year
- ☆180Updated 6 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆141Updated 4 years ago
- Code for Neural Spline Flows paper☆279Updated 5 years ago
- Implementation of Real NVP in PyTorch☆236Updated 6 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- ☆148Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆230Updated 7 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆168Updated 5 years ago
- The collection of recent papers about variational inference☆85Updated 5 years ago
- ☆237Updated 6 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆374Updated 5 years ago
- Tutorial on normalizing flows.☆299Updated 7 years ago
- Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.☆121Updated 6 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- Gaussian Process Prior Variational Autoencoder☆85Updated 6 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆630Updated 4 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated last month
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 3 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆349Updated 3 years ago
- ☆89Updated 3 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago