Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Distfit | 320 | 8 | 4 months ago | 47 | December 08, 2023 | 14 | other | Jupyter Notebook | ||
distfit is a python library for probability density fitting. | ||||||||||
Windrose | 318 | 8 | 8 | 3 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 | 3 months ago | 88 | October 31, 2023 | lgpl-3.0 | Python | |||
Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/ | ||||||||||
Lotteryprediction | 261 | 3 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 | a year 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 | 8 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 |