CNTK
xgboost
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CNTK | xgboost | |
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1 | 10 | |
17,435 | 25,438 | |
0.0% | 0.7% | |
0.0 | 9.7 | |
about 1 year ago | 7 days ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
CNTK
xgboost
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PSA: You don't need fancy stuff to do good work.
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive documentation and community support, making it easy to learn and apply new techniques without needing specialized training or expensive software licenses.
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xgboost VS CXXGraph - a user suggested alternative
2 projects | 28 Feb 2022
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
Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
Keras - Deep Learning for humans
mlpack - mlpack: a fast, header-only C++ machine learning library
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.
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn - scikit-learn: machine learning in Python
Caffe - Caffe: a fast open framework for deep learning.