tablespoon
Numbers-Prophecy
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| tablespoon | Numbers-Prophecy | |
|---|---|---|
| 9 | 5 | |
| 39 | 4 | |
| - | - | |
| 5.3 | 0.0 | |
| 6 months ago | about 2 years ago | |
| Python | Python | |
| MIT 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.
tablespoon
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Statistical vs. Deep Learning forecasting methods
I use my package https://github.com/alexhallam/tablespoon to generate naive forecasts then evaluate the crps of the naive vs the crps of the alternative method. This “skill score” approach is very good.
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I made a library that makes naive forecasting easy
Source code is here tablespoon
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[P] Time-series Benchmark methods that are Simple and Probabilistic
tablespoon makes generating these naive methods easy while taking advantage of Stan's efficient No U-Turn Sampler - much the same way Facebook Prophet it built on top of Stan.
- [P] tablespoon: Time-series Benchmark methods that are Simple and Probabilistic
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- GitHub - alexhallam/tablespoon: 🥄✨Time-series Benchmark methods that are Simple and Probabilistic
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✨Announcing development of a benchmark forecasting library to be used as alongside AI forecasting methods. ✨
I just started the development of tablespoon. The purpose of this package is to make time-series benchmark forecasts that are simple and probabilistic.
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Time-series Benchmark methods that are Simple and Probabilistic
tablespoon
Numbers-Prophecy
- Data Visualization project to demonstrate the biases and predictability of our world
- Project to demonstrate the predictability of our world using empirical & scientific laws
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I created a web-app to demonstrate the biases and predictability of our world
Thought I could put all of this on an interactive website, so check it out - Numbers Prophecy
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Influcened by Vsauce's Zipf Mystery Video I created a website to demonstrate the biases and predictability of our world.
No, it's hosted on PythonAnywhere. Link to the github repo :- https://github.com/AtharvaKatre/Numbers-Prophecy
What are some alternatives?
Bayeslite - BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
plotly-resampler - Visualize large time series data with plotly.py
lambdo - Feature engineering and machine learning: together at last!
django-plotly-dash - Expose plotly dash apps as django tags
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
fitly - Self hosted web analytics for endurance athletes
sktime - A unified framework for machine learning with time series
bayesian-testing - Bayesian A/B testing
uncertainty-baselines - High-quality implementations of standard and SOTA methods on a variety of tasks.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
darts - A python library for user-friendly forecasting and anomaly detection on time series.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!