ex4sperans / variational-inference-with-normalizing-flows
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
☆228Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for variational-inference-with-normalizing-flows
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆272Updated 11 months ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆137Updated 4 years ago
- Masked Autoregressive Flow☆204Updated 3 months ago
- Implementation of Real NVP in PyTorch☆224Updated 5 years ago
- Tutorial on normalizing flows.☆292Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆176Updated 3 years ago
- Pytorch implementation of Neural Processes for functions and images☆225Updated 2 years ago
- Code for Neural Spline Flows paper☆259Updated 4 years ago
- ☆178Updated 5 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆160Updated 4 years ago
- ☆146Updated 2 years ago
- Understanding normalizing flows☆131Updated 4 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆144Updated 2 months ago
- PyTorch implementations of algorithms for density estimation☆577Updated 3 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆223Updated 6 years ago
- Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.☆115Updated 6 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆343Updated 2 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆284Updated 3 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆263Updated last year
- Discrete Normalizing Flows implemented in PyTorch☆107Updated 3 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆376Updated 2 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆89Updated 4 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆606Updated 3 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆352Updated 4 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- ☆86Updated 3 years ago
- Gaussian Process Prior Variational Autoencoder☆79Updated 5 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago