Numbers-Prophecy
tablespoon
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| Numbers-Prophecy | tablespoon | |
|---|---|---|
| 5 | 9 | |
| 4 | 39 | |
| - | - | |
| 0.0 | 5.3 | |
| about 2 years ago | 6 months ago | |
| Python | Python | |
| MIT License | MIT License |
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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
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
- [P]
- 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
What are some alternatives?
plotly-resampler - Visualize large time series data with plotly.py
Bayeslite - BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
django-plotly-dash - Expose plotly dash apps as django tags
lambdo - Feature engineering and machine learning: together at last!
fitly - Self hosted web analytics for endurance athletes
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.
bayesian-testing - Bayesian A/B testing
sktime - A unified framework for machine learning with time series
superset - Apache Superset is a Data Visualization and Data Exploration Platform
uncertainty-baselines - High-quality implementations of standard and SOTA methods on a variety of tasks.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
darts - A python library for user-friendly forecasting and anomaly detection on time series.