Random vectors: marginal and conditional distributions. Normal, t-distribution, Chi-square and F-distribution... AND A LOT MORE.
Ultimate resource for solving aptitude questions from the basics. Whether you're preparing for exams, interviews, or simply want to enhance your problem-solving abilities, this repository has you covered.
A probabilistic programing library empowered with jax to speed up large simulations (still in progress!)
Building artificial intelligence mastery one brick at a time, constructing my path through the world of AI
A machine-learning pipeline that fuses real-time signals from military aviation, civic anomalies, geopolitical news sentiment, and global financial markets to output a continuously updated probability of imminent military conflict.
This repo contains my implementation of SpeedRunEthereum Challenge 07 - Prediction Market. The project builds a decentralized prediction market using a dual-token model, Probability-based linear pricing, oracle resolution, liquidity provisioning, and winner-takes-all payouts - implemented with Solidity, Hardhat, and Scaffold-ETH 2.
Try to compress incompressible data
The old Fortran style C# coding repo for calculating probablities of superheavy nuclej alpha decay
PM course on Gdansk University of Technology
In this project I've used Monte Carlo simulation to generate random numbers. For this I used PARK MILLER algorithm & SCHRAGE algorithm
Codeforces Solution Contests and Others
Representation of Simple Random Walk in Probability theory.
Implemented from scratch a sampling method to draw samples from a multivariate Normal (MVN) distribution in JAX.
Implementation of self-organizing maps for mesh generation
In this project, we have done a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories. The data for this project was scraped from the Google Play website.
Exploration of statistical probability distributions using the Central Limit Theorem in R. Random variable generation using functions of random variables.
Animate Bivariate Normal Distribution using JAX and Matplotlib and making it interactive using ipywidgets.
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