An orientation guide for Linux newbies
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Updated
May 15, 2024 - Python
An orientation guide for Linux newbies
The immutable/mutable meta-distribution (universal bootstrapper)
Truncated Normal Distribution in PyTorch
Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
A simple Python script for calculating the particle size distribution (PSD) of emulsions
Easy evaluation and plotting of statistical data and high-dimensional distributions in python - Fast generation, loading and storing of custom datasets.
[WIP] Extension of sklearn Naive Bayes models that allows sampling and more feature distributions.
alpha-stable distribution c++ wrapper for python
Library for calculating statistical distributions, written in pure Python with zero dependencies.
Examples of generating random variables from the basic probability distributions
Create Blob Shapes in Python
Provide the automatic differentiation for Likelihood maximization routine
Distributions visualized
Statistics and Machine Learning in depth analysis with Tensorflow Probability
Implementation of statistics algorithms for Machine Learning & Data Mining. The algorithms were implemented with the Scikit-Learn Library
Location Scale Family Statistical Distributions
Simulate the behavior of an airport for a week to estimate the total time that each of the airport's runways is empty.
Saratov State University, CSIT. Discipline "pseudo-random numbers generators" (псевдослучайные генераторы, rus)
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