Distfit
distfit is a python library for probability density fitting.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Distfit | 320 | | 8 | 5 months ago | 47 | December 08, 2023 | 14 | other | Jupyter Notebook | |
| distfit is a python library for probability density fitting. | ||||||||||
| Windrose | 318 |  | 8 | 8 | 4 months ago | 14 | September 14, 2020 | 23 | other | Python |
| A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution | ||||||||||
| Reliability | 282 |  | 1 | 4 months ago | 88 | October 31, 2023 | lgpl-3.0 | Python | ||
| Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/ | ||||||||||
| Lotteryprediction | 261 | 4 months ago | other | Jupyter Notebook | ||||||
| :full_moon_with_face: Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed. | ||||||||||
| Multi Armed Bandit | 159 | 6 years ago | 1 | Python | ||||||
| Play with the solutions to the multi-armed-bandit problem. | ||||||||||
| Imgcomp Cvpr | 124 | 5 years ago | 1 | gpl-3.0 | Python | |||||
| TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018 | ||||||||||
| Zepid | 111 | 2 years ago | 29 | December 30, 2020 | 47 | mit | Python | |||
| Epidemiology analysis package | ||||||||||
| Musical Chord Progressions | 104 | 3 years ago | gpl-2.0 | HTML | ||||||
| An analysis of hooktheory's db, represented as a sankey plot | ||||||||||
| Baycomp | 66 |  | 6 | 9 months ago | 6 | July 22, 2023 | 2 | mit | Python | |
| Qqplotr | 45 | 2 | 8 | a year ago | 4 | February 04, 2020 | 2 | gpl-3.0 | R | |
| Extending some ggplot2 functionalities by permitting the drawing of both quantile-quantile (Q-Q) and probability-probability (P-P) points, lines, and confidence bands | ||||||||||
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