xgboost
LightFM
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| xgboost | LightFM | |
|---|---|---|
| 8 | 0 | |
| 24,198 | 4,350 | |
| 0.5% | 0.6% | |
| 8.4 | 2.1 | |
| 5 days ago | 17 days ago | |
| C++ | Python | |
| Apache License 2.0 | 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.
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
LightFM
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Tracking mentions began in Dec 2020.
What are some alternatives?
Surprise - A Python scikit for building and analyzing recommender systems
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
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
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.
MLflow - Open source platform for the machine learning lifecycle
spotlight - Deep recommender models using PyTorch.
scikit-learn - scikit-learn: machine learning in Python