Alternatives and similar repositories for DecisionTree

Users that are interested in DecisionTree are comparing it to the libraries listed below

• mlpack / examples
  Fully-working mlpack example programs
  ☆137Updated 7 months ago
• lucasjinreal / Q-Learning
  An C++ Version of Q-Learning, to Train Robot Play with Flappybird!!
  ☆45Updated 8 years ago
• hlamotte / decision-tree
  Implementation of categorical decision tree in C++
  ☆23Updated 4 years ago
• bcaine / nn_cpp
  A minimalistic header only C++11 Neural Network library based on Eigen::Tensor
  ☆20Updated 7 years ago
• ysh329 / OpenMP-101
  Learn OpenMP examples step by step
  ☆99Updated 10 months ago
• CoffeeBeforeArch / parallel_programming
  A collection of code examples for learning parallel programming concepts
  ☆52Updated 4 years ago
• Flowx08 / artificial_intelligence
  My C++ deep learning framework & other machine learning algorithms
  ☆88Updated 2 years ago
• mlpack / models
  models built with mlpack
  ☆42Updated last year
• gosha20777 / keras2cpp
  it's a small library for running trained Keras 2 models from a native C++ code.
  ☆194Updated 3 years ago
• robinrowe / multiprocessing
  C++ code for RingQueue, SharedMemory and Semaphore
  ☆14Updated 5 years ago
• gtaylor5 / mnist_ml
  C++ Implementations of Various Machine Learning Algorithms using the MNIST Handwriting Data Set
  ☆71Updated 5 years ago
• iamhankai / mini-dnn-cpp
  C++ demo of deep neural networks (MLP, CNN)
  ☆31Updated last year
• koba-jon / svm_cpp
  Support Vector Machines Implementation from scratch in C++
  ☆21Updated 4 years ago
• alantess / learntorch
  Tutorials for PyTorch C++
  ☆45Updated 2 years ago
• csukuangfj / OpenCNN
  An Open Convolutional Neural Network Framework in C++ From Scratch
  ☆66Updated 4 years ago
• dzui42unit / Cpp-and-Threads
  Some examples how C++ multithreading programming works, includes tips and adviced with good approches for achieving good and efficient re…
  ☆33Updated 7 years ago
• ashokyannam / GPU_Acceleration_Using_CUDA_C_CPP
  Programming accelerated applications with CUDA C/C++, enough to be able to begin work accelerating your own CPU-only applications for per…
  ☆94Updated 7 years ago
• leimao / LibTorch-ResNet-CIFAR
  ResNet Implementation, Training, and Inference Using LibTorch C++ API
  ☆42Updated last year
• Whiax / NeuralNetworkCpp
  Very basic deep learning framework in C++
  ☆55Updated 2 years ago
• lppier / DSPFunctions
  C++ Equivalents of some Matlab Functions. These were used in my work when I was working with Intel Performance Primitives.
  ☆28Updated 9 years ago
• andreasfertig / notebookcpp-tips-and-tricks-with-templates
  ☆55Updated last year
• leimao / Simple-Inference-Server
  Inference Server Implementation from Scratch for Machine Learning Models
  ☆24Updated 4 years ago
• lrvine / Bayesian
  Machine Learning : Naive Bayes classifier and Bayesian network classifier C++ implementation
  ☆27Updated 4 years ago
• mtrebi / matrix-multiplication-threading
  Matrix multiplication using c++11 threads
  ☆33Updated 7 years ago
• PacktPublishing / Cpp-High-Performance-Second-Edition
  C++ High Performance Second Edition, published by Packt
  ☆282Updated 2 years ago
• EmreOzkose / pytorch_cpp
  Pytorch cpp api examples/practices
  ☆23Updated last year
• bennylp / awesome-cpp-ml
  My curated list of C++ (GPU) BLAS libraries and machine learning/reinforcement learning frameworks
  ☆28Updated 5 years ago
• gaberoo / cpso
  Particle Swarm Optimization (PSO) in C++ with MPI support
  ☆18Updated 8 years ago
• davidalbertonogueira / MLP
  Simple multilayer perceptron c++ implementation.
  ☆86Updated last year
• intel / cppnnml
  The C++ Neural Network and Machine Learning project is intended to provide a C++ template library for neural nets and machine learning al…
  ☆83Updated 2 years ago