fchollet / nelder-mead
Pure Python/Numpy implementation of the Nelder-Mead algorithm.
☆123Updated 3 years ago
Alternatives and similar repositories for nelder-mead:
Users that are interested in nelder-mead are comparing it to the libraries listed below
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated 8 months ago
- Tutorial on "Modern Optimization Methods in Python"☆249Updated last month
- A Python convex optimization package using proximal splitting methods☆111Updated last year
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- ☆76Updated 2 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆83Updated 8 months ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆305Updated 7 months ago
- ☆64Updated 6 years ago
- ☆67Updated 6 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- ☆98Updated 7 years ago
- Fork of http://www.pyopt.org/ (python3 compatible)☆83Updated last year
- Python library for optimizing noisy functions.☆87Updated 2 years ago
- A Python package for optimization☆59Updated 9 years ago
- A Newton ADMM based solver for Cone programming.☆38Updated 7 years ago
- Material for the SciPy 2017 Cython tutorial☆140Updated 7 years ago
- Numerical machines in Python☆94Updated 10 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆184Updated 6 years ago
- UNIVR PDE course project and just for fun☆117Updated 7 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆50Updated 9 months ago
- ☆26Updated 6 years ago
- bayesian bootstrapping in python☆121Updated 3 years ago
- A Python environment for large-scale optimization.☆30Updated 7 years ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 5 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆37Updated 2 years ago
- Python-based Derivative-Free Optimization with Bound Constraints☆78Updated 6 months ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆214Updated 6 years ago
- Solve automatic numerical differentiation problems in one or more variables.☆263Updated last year
- A CVXPY extension for multi-convex programming☆46Updated 2 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago