Probabilistic deep learning for data streams.
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Updated
Aug 27, 2020 - Scala
Probabilistic deep learning for data streams.
A repository comprising multiple functions for making elegant publication-quality figures in MATLAB
Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
Longtail transforms RV from the given empirical distribution to the standard normal distribution
Power Spectral Density Probability Density Functions Calculation in Julia.
Statistics Cheatsheets
Density Approximation for Deterministic Point Patterns: The Hopalong Attractor
Python package 'pyproblib' calculates and visualizes statistical probability distribution functions.
This repository contain all the codes I worked on form my MSc Project.
Coursework for Advanced Communication Theory at IMPERIAL, 2021
This is a repository containing the notes on statistics and probability for Data Science from basics to Advance
Python library containing variety of statistics related functions used in my research.
A comparative analysis of probability density functions for the modelling of peak currents delivered by lighting strikes in Johannesburg.
This is a calculator that can find the probability density function of a normal distribution.
Probabilistic and Statistical analysis of the frequency of received messages with MATLAB as a tool
Visualize probability distribution function of a binomial distribution
Exploring probability density distributions with Matplotlib and Seaborn
Ronald Fisher accused Mendel, the founder of genetics, of altering his data. Is there evidence to suggest that Mendel really may have fudged his numbers?
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