TinyVolt / normalizing-flowsLinks
Implementation of normalizing flows from 1d to Nd
☆35Updated 4 years ago
Alternatives and similar repositories for normalizing-flows
Users that are interested in normalizing-flows are comparing it to the libraries listed below
Sorting:
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Stochastic Normalizing Flows☆78Updated 4 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆52Updated 4 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆40Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Updated 3 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 3 months ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆18Updated 5 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 7 months ago
- ☆155Updated 3 years ago
- Implementation of Action Matching☆49Updated 2 years ago
- ☆11Updated 4 years ago
- ☆14Updated 2 years ago
- Manifold-learning flows (ℳ-flows)☆231Updated 5 years ago
- Library for normalizing flows and neural flows.☆26Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆65Updated last year
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 3 years ago
- PyTorch Code used in 'Introduction to Deep Generative Modeling'☆54Updated 4 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 3 years ago
- Neural Diffusion Processes☆81Updated last year
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆56Updated 2 years ago
- Implementation of deep kernels in GPyTorch and Pyro☆12Updated 4 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- Normalizing flows in PyTorch☆438Updated last month
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year