Prophet
ranger
Our great sponsors
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.
Prophet
-
Moirai: A Time Series Foundation Model for Universal Forecasting
https://facebook.github.io/prophet/
"Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well."
- prophet: NEW Data - star count:17116.0
- prophet: NEW Data - star count:17082.0
- Facebook Prophet: library for generating forecasts from any time series data
- prophet: NEW Data - star count:16196.0
- prophet: NEW Data - star count:15889.0
ranger
- Ranger random forest with beta splits really slow?
-
What is your favorite R package and why?
caret and tidymodels are one higher level of abstraction from glmnet. caret and tidymodels allow you to write reusable code that can apply to multiple different kinds of models like glmnet-style regularized regression, ranger-style random forests, mars-style regression, etc. This kind of abstraction is helpful when you're comparing different models or combining models and want to minimize new code written per model.
What are some alternatives?
tensorflow - An Open Source Machine Learning Framework for Everyone
renv - renv: Project environments for R.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
dlookr - Tools for Data Diagnosis, Exploration, Transformation
scikit-learn - scikit-learn: machine learning in Python
keyring - :closed_lock_with_key: Access the system credential store from R
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
greykite - A flexible, intuitive and fast forecasting library
MLflow - Open source platform for the machine learning lifecycle
Keras - Deep Learning for humans
sktime - A unified framework for machine learning with time series
pytorch-forecasting - Time series forecasting with PyTorch