Generate customizable Mythic HTTPX profiles by converting Burp Suite requests, TOML files, and Cobalt Strike malleable C2 profiles into valid JSON formats.

📊 Explore statistical methods with Python for hypothesis testing, p-values, and confidence intervals through real-world applications.

Fast Bayesian Inference in Python. 50+ conjugate models with vectorized updates, sufficient statistic helpers, built-in plotting, and SciPy integration.

Generate Samples with a Variety of Probability Distributions

Probabilistic modelling and uncertainty quantification library

The objective of the study is to analyze rainfall data of San Francisco and to study the rainfall variation in pattern happened in the last few years.

Numerics is a free and open-source library for .NET developed by USACE-RMC, providing a comprehensive set of methods and algorithms for numerical computations and statistical analysis.

A PyTorch-based distribution parametrized by the logits of CDF bins

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Links to my LLM chats in finance, econometrics and statistics, and programming

Vectorised distributions for R

My Management science, and Mathematical Engineering Optimizations python notebooks.

Lotto 7/39. Normal. Chi-square. F distribution. Poisson — Pearson. Exponential. Weibull.

Fortran Standard Library

Unimodal Tucker decomposition of multidimensional probability tables

Generation, estimation and features of stable distributions

OIPD: (1) computes the market's expectations about the probable future prices of an asset, (2) offers a full arbitrage-free volatility surface fitter

facilitar o cálculo de possibilidades através da contabilização das possibilidades de dados de faces variadas.

RMC-BestFit is a state-of-the-art Bayesian estimation and fitting software developed collaboratively by the USACE-RMC and ERDC-CHL.

A method to contrain the Hubble parameter using measured data and Markov chains