MArpogaus / bernstein-flowLinks
A normalizing flow using Bernstein polynomials for conditional density estimation.
☆19Updated 11 months ago
Alternatives and similar repositories for bernstein-flow
Users that are interested in bernstein-flow are comparing it to the libraries listed below
Sorting:
- A framework for composing Neural Processes in Python☆85Updated 9 months ago
- Literature and light wrappers for gaussian process models.☆48Updated 4 years ago
- Collection of resources from each meetup event☆13Updated 4 years ago
- A pure python implementation for vine copulas☆34Updated 10 months ago
- Multivariate Local Polynomial Regression and Radial Basis Function Regression☆51Updated 2 years ago
- Emulate simulations easily☆100Updated this week
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆52Updated last year
- A Python library for vine copula models☆111Updated this week
- Multi-Output Gaussian Process Toolkit☆176Updated 4 months ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Implementation of Flexible Conditional Density Estimator☆24Updated 3 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 11 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 8 months ago
- Gaussian process modelling in Python☆224Updated 9 months ago
- ☆48Updated 8 months ago
- ☆14Updated 2 years ago
- scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.☆188Updated 2 weeks ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Neural networks for conditional density estimation☆12Updated 5 years ago
- ☆23Updated 7 months ago
- Linear and non-linear spectral forecasting algorithms☆138Updated 4 years ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆27Updated last week
- Conformal prediction for time-series applications.☆121Updated last year
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 3 years ago
- Software implementations of engression by Shen and Meinshausen (2023)☆39Updated last week
- package useful for likelihood-based inference☆13Updated this week
- Multivariate data modelling with Copulas in Python☆157Updated 8 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated 2 weeks ago
- ☆17Updated 4 years ago
- Functional Data Analysis Python package☆335Updated 3 months ago