slaue / genosolverLinks
GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems.
☆37Updated last year
Alternatives and similar repositories for genosolver
Users that are interested in genosolver are comparing it to the libraries listed below
Sorting:
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated 2 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Updated 2 years ago
- Unbiased MCMC with couplings☆19Updated 6 years ago
- 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
- A generic interface for linear algebra backends☆76Updated 2 months ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆59Updated last year
- Kernels, the machine learning ones☆14Updated 2 years ago
- Exponential families for JAX☆76Updated last week
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A general purpose Gaussian process regression module☆11Updated 6 months ago
- Solve ODEs fast, with support for PyMC☆117Updated last year
- A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiolo…☆17Updated 2 years ago
- Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt…☆121Updated last month
- Python-based Derivative-Free Optimization with Bound Constraints☆91Updated last month
- Bayesian inference and posterior analysis for Python☆46Updated 2 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆33Updated 3 years ago
- Exploratory analysis of Bayesian models with Julia☆110Updated last week
- Lectures on Quantitative Economics Using JAX☆48Updated last week
- Gaussian Process Regression Interactive Javascript Demo☆57Updated 7 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated 2 months ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated last year
- All things Monte Carlo, written in JAX.☆32Updated 2 years ago
- Numba-accelerated statistical distributions☆66Updated 2 weeks ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆131Updated last month
- A CVXPY extension for saddle problems☆28Updated 2 weeks ago
- Benchmarks of Bayesian Nonparametric models in Turing and other PPLs☆28Updated last year
- MatrixD implements matrix differentiation☆20Updated 8 years ago