slaue / genosolver
GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems.
☆35Updated last month
Related projects ⓘ
Alternatives and complementary repositories for genosolver
- Functional Data Analysis using Square-Root Slope Framework☆10Updated 4 years ago
- Field Guide to Continuous Probability Distributions by Gavin E. Crooks☆26Updated 2 years ago
- Some nonnegative least squares solvers in Julia☆46Updated 3 months ago
- A module for fitting Hidden Markov Models in Julia☆9Updated 8 years ago
- Turing.jl port of the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill, and Aki Vehtari☆19Updated 2 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Python-based Derivative-Free Optimizer for Least-Squares☆41Updated 3 weeks ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- Exploratory analysis of Bayesian models with Julia☆107Updated 3 weeks ago
- Python-based Derivative-Free Optimization with Bound Constraints☆79Updated 2 months ago
- Turning SymPy expressions into JAX functions☆42Updated 3 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated last year
- A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiolo…☆13Updated 10 months ago
- Kernels, the machine learning ones☆14Updated last year
- Solve many kinds of least-squares and matrix-recovery problems☆33Updated last year
- Least squares solver in Julia☆13Updated 5 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 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…☆20Updated 4 months ago
- A generic interface for linear algebra backends☆70Updated 5 months ago
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆27Updated 2 years ago
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Updated 5 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆38Updated last year
- ☆15Updated 7 years ago
- Structured optimization in Julia☆72Updated last year
- Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"☆12Updated last year
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆40Updated last year
- Bibtex for various Python science and machine learning software☆31Updated 2 years ago
- test repo for Algorithms for Optimization☆31Updated 2 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆34Updated 3 weeks ago
- Exponential families for JAX☆55Updated this week