e-hulten / mafLinks
PyTorch implementation of the Masked Autoregressive Flow
☆27Updated 4 years ago
Alternatives and similar repositories for maf
Users that are interested in maf are comparing it to the libraries listed below
Sorting:
- Masked Autoregressive Flow☆213Updated 10 months ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- Sequential Neural Likelihood☆40Updated 5 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆38Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago
- ☆23Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Stein Variational Gradient Descent with Matrix-Valued Kernels☆12Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆118Updated 5 months ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆101Updated last year
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆19Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆35Updated 4 years ago
- A Pytorch Implementation of Attentive Neural Process☆74Updated 6 years ago
- Official implementation of Transformer Neural Processes☆76Updated 2 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated 2 weeks ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆57Updated 10 months ago
- Code for Graph Normalizing Flows.☆61Updated 5 years ago
- Pytorch implementation of Neural Processes for functions and images☆230Updated 3 years ago
- ☆38Updated 3 years ago