TinyVolt / normalizing-flowsLinks
Implementation of normalizing flows from 1d to Nd
☆34Updated 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 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆101Updated last year
- ☆11Updated 4 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆50Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Implementation of Action Matching☆44Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆52Updated 10 months ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆46Updated 2 years ago
- ☆14Updated 2 years ago
- A simple pytorch implementation of Langevin Monte Carlo algorithms.☆51Updated 5 years ago
- Solving Inverse Physics Problems with Score Matching☆25Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆52Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated last week
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 4 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆17Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆66Updated last week
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated 2 weeks ago
- Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normali…☆20Updated last year
- Sequential Neural Likelihood☆40Updated 5 years ago
- ☆153Updated 2 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago