fchollet / nelder-mead
Pure Python/Numpy implementation of the Nelder-Mead algorithm.
☆122Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for nelder-mead
- Tutorial on "Modern Optimization Methods in Python"☆248Updated last year
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆79Updated 4 months ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆48Updated 5 months ago
- Bayesian optimization in high-dimensions via random embedding.☆113Updated 11 years ago
- Numba tutorial materials for Scipy 2016☆143Updated 7 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- Kernel structure discovery research code - likely to be unstable☆188Updated 9 years ago
- Python library for optimizing noisy functions.☆87Updated 2 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆330Updated last year
- Sequential Monte Carlo working on top of pymc☆50Updated 5 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆213Updated 5 years ago
- Course notes for graduate-level class on numerical methods for deep learning☆50Updated 3 years ago
- Bayesian optimization for Python☆241Updated 2 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆36Updated last year
- Parameterization Framework for parameterized model creation and handling.☆47Updated 10 months ago
- A CVXPY extension for convex-concave programming☆123Updated 11 months ago
- ☆74Updated 2 years ago
- Bayesian Optimization using GPflow☆270Updated 3 years ago
- Collection of jupyter notebooks for demonstrating software.☆165Updated last year
- A Newton ADMM based solver for Cone programming.☆38Updated 7 years ago
- Bayesian optimization☆37Updated 4 years ago
- Reference implementation of Optimistic Expected Improvement.☆48Updated 4 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 6 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated last year
- Deep Gaussian Processes in matlab☆90Updated 3 years ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- A simple interface to allow Python to call MATLAB functions.☆95Updated 7 years ago
- UNIVR PDE course project and just for fun☆115Updated 7 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆178Updated 10 years ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆300Updated 3 months ago