goroda / GPEXPLinks
Experimental Design for Gaussian Process Regression in Python
☆12Updated 4 years ago
Alternatives and similar repositories for GPEXP
Users that are interested in GPEXP are comparing it to the libraries listed below
Sorting:
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated 2 years ago
- Differentiable interface to FEniCS for PyMC3☆22Updated 3 years ago
- Kernel methods for statistical modeling of dynamical systems☆26Updated 2 months ago
- Dynamic Mode Decomposition☆61Updated 8 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆88Updated last year
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- This Python package aims at providing tools to study stochastic processes: integrate SDEs, solve Fokker-Planck equations, sample rare eve…☆13Updated 5 years ago
- Hamiltonain Monte Carlo in Python☆40Updated 6 years ago
- Krylov subspace methods package for Python☆107Updated last year
- ☆100Updated 2 months ago
- A library to build up lazily evaluated expressions of linear transforms for efficient scientific computing.☆25Updated last year
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆59Updated last year
- Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler☆123Updated 3 months ago
- Some useful extensions for NumPy☆30Updated last year
- lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.☆20Updated last year
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Second Order ERror Propagation☆48Updated 7 years ago
- Python-based Derivative-Free Optimizer for Least-Squares☆43Updated 3 weeks ago
- Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …☆31Updated 7 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 3 years ago
- Examples in PyAMG☆28Updated last year
- Methods for numerical differentiation of noisy data in python☆130Updated 3 weeks ago
- Optimal numerical differentiation of noisy time series data in python.☆66Updated last month
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A short course in pseudospectral collocation methods for wave equations, with implementations in Python.☆63Updated 3 months ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆131Updated last week
- SciPy fixes and extensions☆20Updated 3 years ago
- PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.☆14Updated 3 years ago
- Efficiently generate and analyse high dimensional data.☆71Updated last year