148 Open source projects that are alternatives of or similar to UQpy

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

kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order

Lattice gas Monte Carlo simulation code

GOMC - GPU Optimized Monte Carlo is a parallel molecular simulation code designed for high-performance simulation of large systems

OpenCossan is an open and free toolbox for uncertainty quantification and management.

An in-memory bloom filter with persistence and HTTP interface

A library for uncertainty quantification based on PyTorch

A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.

Coq library for reasoning on randomized algorithms [maintainers=@anton-trunov,@volodeyka]

This repository contains notes and projects of Data scientist track from dataquest course work.

Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"

Bayesian tools for fitting molecular mechanics torsion parameters to quantum chemical data.

High-performance framework for uncertainty quantification, optimization and reinforcement learning.

Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab

Classical Monte Carlo simulations for lattice spin systems

List of Data Science and Machine Learning Resource that I frequently use

Teaching Utility for Classical Atomistic Simulation.

💹 Simple HTML Snippets to create Tickers / Charts of Cryptocurrencies with the TradingView API 💹

Sampling nuclear data and uncertainty

A dynamic microsimulation framework for python

Markov Chains and Hidden Markov Models in Python

A population based stochastic algorithm for finding the minimum value in a function.

Computational Methods for Numerical Analysis

🚀 A library designed to facilitate work with probability, statistics and stochastic calculus

An instructive one-file Ruby path tracer

Probability bonus for daily rewards Unity

Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

Scripts for using on Binary.com Bots.

Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir

Yet another markov chain sentence generator

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera

Fast & numerically stable statistical analysis

VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms

Penney's Game

AdaptivePELE is a Python package aimed at enhancing the sampling of molecular simulations

A Python implementation of the rough Bergomi model.

A Python module for carrying out GCMC insertions and deletions of water molecules in OpenMM.

Using Computer with your Statistics Major Course

This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!

Some Monte Carlo tools

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

📊 Methods of Applied Statistics Course Textbook Repository

Monte Carlo eXtreme (MCX) - GPU-accelerated photon transport simulator

A probabilistic prototype for deployment of Fog applications.

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

A native Julia code for lattice QCD with dynamical fermions in 4 dimension.

Application of the L2HMC algorithm to simulations in lattice QCD.

Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader

Xor filters - efficient probabilistic hashsets. Faster and smaller than bloom and cuckoo filters.

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

Markov chain Monte Carlo solver for lattice spin systems implemented by Julialang

Pieces of code that have appeared on my blog with a focus on stochastic simulations.

machine learning

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

Quick definitions and intuitive explanations around machine learning.

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

CRPropa is a public astrophysical simulation framework for propagating extraterrestrial ultra-high energy particles. https://crpropa.github.io/CRPropa3/