Description
Operon is a modern C++ framework for symbolic regression that uses genetic programming to explore a hypothesis space of possible mathematical expressions in order to find the best-fitting model for a given regression target. Its main purpose is to help develop accurate and interpretable white-box models in the area of system identification.
Modern C++ framework for Symbolic Regression alternatives and similar libraries
Based on the "Artificial Intelligence" category.
Alternatively, view Operon alternatives based on common mentions on social networks and blogs.
-
PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration -
TensorFlow
An Open Source Machine Learning Framework for Everyone -
CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit -
Eclipse Deeplearning4J
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. -
tiny-cnn
header only, dependency-free deep learning framework in C++14 -
Recast/Detour
Navigation-mesh Toolset for Games -
Genann
simple neural network library in ANSI C -
frugally-deep
Header-only library for using Keras (TensorFlow) models in C++. -
Veles
Distributed machine learning platform -
Tulip Indicators
Technical Analysis Indicator Function Library in C -
AI-Toolbox
A C++ framework for MDPs and POMDPs with Python bindings -
BayesOpt
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits. -
Native System Automation
Native cross-platform system automation -
ANNetGPGPU
A GPU (CUDA) based Artificial Neural Network library -
Tulip Cell
TulipCell is an Excel add-in providing 100+ technical analysis indicators. -
nano
C++ library [machine learning & numerical optimization] -
openmind
Deduction framework with arbitrary mathematical system solver. -
Evolving Objects
A template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. [LGPL]
Access the most powerful time series database as a service
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of Modern C++ framework for Symbolic Regression or a related project?
Popular Comparisons
-
Modern C++ framework for Symbolic RegressionvsTensorFlow
-
Modern C++ framework for Symbolic RegressionvsAI-Toolbox
-
Modern C++ framework for Symbolic RegressionvsANNetGPGPU
-
Modern C++ framework for Symbolic RegressionvsRecast/Detour
-
Modern C++ framework for Symbolic Regressionvsfrugally-deep