bad-forecast-good-decision
Prophet
bad-forecast-good-decision | Prophet | |
---|---|---|
1 | 222 | |
17 | 17,806 | |
- | 0.9% | |
10.0 | 6.2 | |
about 2 years ago | 10 days ago | |
TeX | Python | |
BSD 2-clause "Simplified" License | MIT License |
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.
bad-forecast-good-decision
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Is it worth staying in my first iob out of college for the “experience” in my resume, even if I’m not learning any new skills?
Interacting directly with the people who have the problem you're trying to solve is a great cure for arrogance. Even if you deliver a perfect prediction, does that help anyone make a useful decision? Check out this pre-print: Bad Forecast, Good Decision which shows how there are cases where better forecasting can lead to worse outcomes.
Prophet
- TimesFM (Time Series Foundation Model) for time-series forecasting
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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
What are some alternatives?
awesome-project-ideas - Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
tensorflow - An Open Source Machine Learning Framework for Everyone
sktime - A unified framework for machine learning with time series
darts - A python library for user-friendly forecasting and anomaly detection on time series.
scikit-learn - scikit-learn: machine learning in Python
DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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