brencej / ProGED
equation discovery based on generative models
☆17Updated last month
Alternatives and similar repositories for ProGED
Users that are interested in ProGED are comparing it to the libraries listed below
Sorting:
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated 3 months ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 5 years ago
- ☆44Updated 2 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated last year
- Library for Bayesian Quadrature☆31Updated 6 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆79Updated 4 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated last year
- Topological Signal Processing in Python☆28Updated last week
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆116Updated 4 years ago
- Code for "Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference" (ICML 2024)☆16Updated 5 months ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Ultrahyperbolic Representation Learning☆12Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 3 months ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 9 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.☆25Updated last year
- A Python Library for Deep Probabilistic Modeling☆60Updated 6 months ago
- Algorithm for Revealing Network Interactions (ARNI) from nonlinear collective dynamics☆26Updated 7 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 7 months ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆45Updated last year
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆50Updated 5 years ago
- ☆16Updated 3 years ago
- Dynamic causal Bayesian optimisation☆37Updated 2 years ago
- ☆14Updated last year
- Python library for working with graphons☆22Updated 7 years ago