Modern C++ framework for Symbolic Regression alternatives and similar libraries

Based on the "Artificial Intelligence" category.
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• PyTorch

  10.0 10.0 L3 Modern C++ framework for Symbolic Regression VS PyTorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  

• TensorFlow

  10.0 10.0 L1 Modern C++ framework for Symbolic Regression VS TensorFlow

  An Open Source Machine Learning Framework for Everyone
  

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• CNTK

  9.7 3.3 L1 Modern C++ framework for Symbolic Regression VS CNTK

  Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
  

• Eclipse Deeplearning4J

  9.6 7.3 L1 Modern C++ framework for Symbolic Regression VS 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

  8.8 0.0 L2 Modern C++ framework for Symbolic Regression VS tiny-cnn

  header only, dependency-free deep learning framework in C++14
  

• Recast/Detour

  8.8 0.0 L1 Modern C++ framework for Symbolic Regression VS Recast/Detour

  Navigation-mesh Toolset for Games
  

• Genann

  6.0 0.0 L4 Modern C++ framework for Symbolic Regression VS Genann

  simple neural network library in ANSI C

• frugally-deep

  5.7 4.4 Modern C++ framework for Symbolic Regression VS frugally-deep

  Header-only library for using Keras (TensorFlow) models in C++.

• Veles

  5.6 0.0 L2 Modern C++ framework for Symbolic Regression VS Veles

  Distributed machine learning platform
  

• Tulip Indicators

  5.1 0.0 L3 Modern C++ framework for Symbolic Regression VS Tulip Indicators

  Technical Analysis Indicator Function Library in C
  

• AI-Toolbox

  4.5 0.0 L4 Modern C++ framework for Symbolic Regression VS AI-Toolbox

  A C++ framework for MDPs and POMDPs with Python bindings

• btsk

  4.4 0.0 L5 Modern C++ framework for Symbolic Regression VS btsk

  Behavior Tree Starter Kit
  

• BayesOpt

  3.9 0.0 L1 Modern C++ framework for Symbolic Regression VS BayesOpt

  BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

• Native System Automation

  3.3 0.0 L1 Modern C++ framework for Symbolic Regression VS Native System Automation

  Native cross-platform system automation
  

• ANNetGPGPU

  2.5 0.0 L2 Modern C++ framework for Symbolic Regression VS ANNetGPGPU

  A GPU (CUDA) based Artificial Neural Network library
  

• Tulip Cell

  1.8 0.0 Modern C++ framework for Symbolic Regression VS Tulip Cell

  TulipCell is an Excel add-in providing 100+ technical analysis indicators.
  

• nano

  1.6 8.4 Modern C++ framework for Symbolic Regression VS nano

  C++ library [machine learning & numerical optimization]

• openmind

  1.5 0.0 Modern C++ framework for Symbolic Regression VS openmind

  Deduction framework with arbitrary mathematical system solver.

• Evolving Objects

  - Modern C++ framework for Symbolic Regression VS Evolving Objects

  A template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. [LGPL]

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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Popular Comparisons

• Modern C++ framework for Symbolic Regression
  vs
  TensorFlow
• Modern C++ framework for Symbolic Regression
  vs
  AI-Toolbox
• Modern C++ framework for Symbolic Regression
  vs
  ANNetGPGPU
• Modern C++ framework for Symbolic Regression
  vs
  Recast/Detour
• Modern C++ framework for Symbolic Regression
  vs
  frugally-deep

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