abdulfatir / planar-flow-pytorchLinks
Pytorch implementation of Planar Flow
☆17Updated 5 years ago
Alternatives and similar repositories for planar-flow-pytorch
Users that are interested in planar-flow-pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30Updated 7 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- ☆29Updated 3 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- The code for Meta Learning for SGMCMC☆25Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Code release for the ICLR paper☆21Updated 7 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆34Updated 3 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 11 months ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- Deep convolutional gaussian processes.☆80Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- ☆68Updated 2 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆120Updated 2 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago