Our great sponsors
|3 days ago||7 days ago|
|Apache License 2.0||GNU General Public License v3.0 or later|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
xgboost VS CXXGraph - a user suggested alternative
2 projects | 28 Feb 2022
What is the most used library for AI in C++ ?
3 projects | reddit.com/r/cpp_questions | 23 Jan 2022
mlpack is a great library for machine learning in C++. It's very fast and not too much of a learning curve.
Ensmallen: A C++ Library for Efficient Numerical Optimization
3 projects | news.ycombinator.com | 8 Dec 2021
This toolkit was originally part of the mlpack machine learning library (https://github.com/mlpack/mlpack) before it was split out into a separate, standalone effort.
Top 10 Python Libraries for Machine Learning
14 projects | dev.to | 9 Sep 2021
Github Repository: https://github.com/mlpack/mlpack Developed By: Community, supported by Georgia Institute of technology Primary purpose: Multiple ML Models and Algorithms
What are some alternatives?
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
tensorflow - An Open Source Machine Learning Framework for Everyone
Keras - Deep Learning for humans
SHOGUN - Shōgun
Dlib - A toolkit for making real world machine learning and data analysis applications in C++
catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Caffe - Caffe: a fast open framework for deep learning.
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
scikit-learn - scikit-learn: machine learning in Python