andim / noisyoptLinks
Python library for optimizing noisy functions.
☆88Updated 3 months ago
Alternatives and similar repositories for noisyopt
Users that are interested in noisyopt are comparing it to the libraries listed below
Sorting:
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆84Updated last year
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- Clustering with variational Bayes and population Monte Carlo☆51Updated 2 months ago
- Fast and flexible Gaussian Process regression in Python☆459Updated last week
- ☆77Updated 3 years ago
- ABCpy package☆117Updated last year
- Probabilistic Inference on Noisy Time Series☆241Updated 3 months ago
- Kernel structure discovery research code - likely to be unstable☆195Updated 10 years ago
- Pure Python/Numpy implementation of the Nelder-Mead algorithm.☆130Updated 4 years ago
- python implementation of Sobol' sequence generator☆67Updated 3 years ago
- a python 3 library based on deap providing abstraction layers for symbolic regression problems.☆94Updated 4 years ago
- Cython interface for the GNU Scientific Library (GSL).☆120Updated 3 years ago
- Python-based Derivative-Free Optimization with Bound Constraints☆91Updated last month
- A Python package for performing Maximum Likelihood Estimates☆128Updated 5 years ago
- Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.☆136Updated 2 weeks ago
- Scalable 1D Gaussian Processes in C++, Python, and Julia☆191Updated last week
- All things Monte Carlo, written in JAX.☆32Updated 2 years ago
- ELFI - Engine for Likelihood-Free Inference☆279Updated 8 months ago
- Yet another black-box optimization library for Python☆138Updated 3 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆88Updated last year
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 10 years ago
- fast algorithm to do statistics on big data☆37Updated 5 months ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Updated 6 years ago
- Solve automatic numerical differentiation problems in one or more variables.☆277Updated 2 weeks ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆131Updated 5 years ago
- Simplicial Homology Global Optimization☆53Updated 9 months ago
- Approximate Bayesian Computation Population Monte Carlo☆41Updated 5 years ago
- Hamiltonain Monte Carlo in Python☆40Updated 6 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Data fitting with uncertainty analysis☆61Updated last week