gusmaogabriels / optinpyLinks
Optimization in Python: Linear and non-linear optimization methods.
☆48Updated 4 years ago
Alternatives and similar repositories for optinpy
Users that are interested in optinpy are comparing it to the libraries listed below
Sorting:
- This repository contains implementations of some basic sampling methods in numpy.☆67Updated 5 years ago
- Introduction to Uncertainty Quantification☆255Updated 3 years ago
- Course notes for graduate-level class on numerical methods for deep learning☆51Updated 4 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.☆82Updated 3 years ago
- Manifold Markov chain Monte Carlo methods in Python☆236Updated 2 weeks ago
- Some basic algorithms for stochastic differential equations in Python/NumPy☆29Updated 12 years ago
- Yet another black-box optimization library for Python☆138Updated 2 years ago
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year
- Proximal optimization in pure python☆118Updated 3 years ago
- Example codes for the book Applied Stochastic Differential Equations☆200Updated 3 weeks ago
- ☆87Updated 2 years ago
- Turning SymPy expressions into PyTorch modules.☆152Updated 2 years ago
- Harvard Applied Math 205: Code Examples☆93Updated 3 years ago
- Python Algorithms for Randomized Linear Algebra☆56Updated 2 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 2 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Updated 5 years ago
- Tensorflow implementation of equation learner☆33Updated 4 years ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆223Updated 5 years ago
- A CVXPY extension for convex-concave programming☆135Updated 2 weeks ago
- Python-based Derivative-Free Optimization with Bound Constraints☆90Updated 2 weeks ago
- A hands-on tutorial on supervised learning with Gaussian processes☆37Updated 5 years ago
- Adaptive MCMC and CMA-ES Python code☆14Updated 6 years ago
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated 2 weeks ago
- Numerical integration of Ito or Stratonovich SDEs☆168Updated 2 years ago
- ☆112Updated 4 years ago
- ☆41Updated 7 years ago
- Course material for Cornell CS 6210 for Fall 2019☆25Updated 5 years ago
- Materials for a short course on convex optimization.☆351Updated 2 months ago
- ☆56Updated 5 years ago