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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
A Tiny Grammar of Graphics
4 projects | news.ycombinator.com | 14 Jun 2022
20+ Free Tools & Resources for Machine Learning
5 projects | dev.to | 31 Mar 2022
H2O.ai H2O is a deep learning tool built in Java. It supports most widely used machine learning algorithms and is a fast, scalable machine learning application interface used for deep learning, elastic net, logistic regression, and gradient boosting.
Data Science Competition
15 projects | dev.to | 25 Mar 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
Keras - Deep Learning for humans
MLflow - Open source platform for the machine learning lifecycle
scikit-learn - scikit-learn: machine learning in Python
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.
mlpack - mlpack: a fast, header-only C++ machine learning library
pycaret - An open-source, low-code machine learning library in Python
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.