heal-research / operon
C++ Large Scale Genetic Programming
☆161Updated last month
Alternatives and similar repositories for operon:
Users that are interested in operon are comparing it to the libraries listed below
- Python bindings and scikit-learn interface for the Operon library for symbolic regression.☆49Updated last week
- A living benchmark framework for symbolic regression☆247Updated 4 months ago
- Implementation of a differentiable CGP (Cartesian Genetic Programming)☆110Updated 2 years ago
- Symbolic Regression using MCMC sampling☆26Updated 3 years ago
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP☆53Updated last year
- A Python 3 gradient-free optimization library☆134Updated 3 weeks ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆200Updated 4 months ago
- ☆24Updated last month
- Python-based Derivative-Free Optimization with Bound Constraints☆78Updated 6 months ago
- a python 3 library based on deap providing abstraction layers for symbolic regression problems.☆93Updated 3 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆90Updated 2 months ago
- An open source python library for non-linear piecewise symbolic regression based on Genetic Programming☆31Updated 10 months ago
- A deep learning framework for symbolic optimization.☆626Updated 2 months ago
- Turning SymPy expressions into PyTorch modules.☆146Updated last year
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆33Updated last year
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆386Updated last month
- Gaussian processes in JAX.☆487Updated this week
- A Bayesian optimization toolbox built on TensorFlow☆227Updated this week
- Blazing fast symbolic regresison☆76Updated 5 years ago
- Turning SymPy expressions into JAX functions☆44Updated 4 years ago
- Equation Learner, a neural network approach to symbolic regression☆77Updated 6 months ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆87Updated 3 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆106Updated 2 weeks ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆232Updated last year
- FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.☆108Updated last year
- A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model…☆469Updated 7 months ago
- Solve ODEs fast, with support for PyMC☆112Updated 10 months ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆44Updated 3 years ago
- The tiniest of Gaussian Process libraries☆307Updated last week
- Probabilistic Inference on Noisy Time Series☆234Updated last month