pfevaluator: A library for evaluating performance metrics of Pareto fronts in multiple/many objective optimization problems
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Updated
Aug 19, 2023 - Python
pfevaluator: A library for evaluating performance metrics of Pareto fronts in multiple/many objective optimization problems
Robust estimations from distribution structures: III. Non-asymptotic
The first efficient procedure to test whether a sampler is uniform
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
PyPi package for modelling Probability distributions
Statistics library for Dart
Get an integer between a min and max, bring your own random number generator.
Position prediction of invisible tree using EM algorithm of GMM. We used Python's Matplotlib data visualization and preprocessed to determine the fruit distribution. BIC and AIC indexes were used to determine the number of cluster categories, and Gaussian mixture model was used to cluster according to the fruit data to predict the coordinates o…
Learning Reliable Rules under Class Imbalance (SDM 2021)
Simple uniform deterministic 1D, 2D, 3D, 4D value noise
Provide true random numbers based on the random-bit file generated by RANDOM.ORG
🔀 The standard algorithm for generating a uniformly chosen random permutation. Devised by Ronald Fisher and Frank Yates, modernized by Richard Durstenfeld and popularized by Donald E. Knuth. This version permits Sattolo cycles as well as seeded/keyed shuffles and unshuffles.
Brief into about Central Limit Theorem (CLT) and Python code for finding mean of CLT and plotting using seaborn and matplotlib on normal, uniform, multi-nomial distribution.
Development-of-LED-Ring-for-Object-Tracking
Fast Generation of Random Numbers by Sampling Properties of Particles at Equilibrium
Visualization of Mass Redististribution and Tranport.
Go implementation of the Xoroshiro128++, Xoshiro256++, and Xoshiro512++ pseudo random number generators
German Tank Problem
Probability distribution simulator for Poisson distribution, exponential distribution and uniform distribution
[Python] Explored different Multiarmed Bandits algorithms to find the best election campaigns more effectively
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