An orientation guide for Linux newbies
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Updated
Apr 11, 2025 - Python
An orientation guide for Linux newbies
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
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.
Create Blob Shapes in Python
Provide the automatic differentiation for Likelihood maximization routine
Examples of generating random variables from the basic probability distributions
Distributions visualized
Examples of using the test statistics to test hypotheses
Location Scale Family Statistical Distributions
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
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