Modeling Libraries

27 Components & Libraries

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Modeling Libraries

Computer Aided Integration of Requirements and Information Security - Server

CAIRIS (Computer Aided Integration of Requirements and Information Security) is a platform for modelling secure and usable systems. CAIRIS was built from the ground-up to support usability, requireme…

Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

Mesa allows users to quickly create agent-based models using built-in core components (such as spatial grids and agent schedulers) or customized implementations; visualize them using a browser-based …

Serial communication link bit error rate tester simulator, written in Python.

PyBERT is a serial communication link bit error rate tester simulator with a graphical user interface (GUI). Notice: Before using this package for any purpose, you MUST read and understand the terms …

Data Apps & Dashboards for Python. No JavaScript Required.

With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization. Scale up with Dash Enterprise when your Dash app is ready for d…

Coursera Machine Learning - Python code

This repository contains python implementations of certain exercises from the course by Andrew Ng. For a number of assignments in the course you are instructed to create complete, stand-alone Octav…

A Python(nic) Implementation of EMF/Ecore (Eclipse Modeling Framework)

PyEcore allows you to handle models and metamodels (structured data model), and gives the key you need for building MDE-based tools and other applications based on a structured data model. It support…

Python library and web service for Open Source Software Health and Sustainability metrics & data collection. You can find our documentation and new contributor information easily here: https://oss-augur.readthedocs.io/en/main/ and learn more about Augur at our website https://augurlabs.io

We gather trace data for a group of repositories, normalize it into our data model, and provide a variety of metrics about said data. The structure of our data model enables us to synthesize data acr…

Pymtl 3 (Mamba), an open-source Python-based hardware generation, simulation, and verification framework

PyMTL is offered under the terms of the Open Source Initiative BSD 3-Clause License. More information about this license can be found here: The steps for installing these prerequisites and PyMTL on a…

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

Open-source, implicit 3D structural geological modeling in Python. We provide the latest release version of GemPy via PyPi package services. We highly recommend using PyPi, The following versions are…

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

Awesome software projects sub-categorized by focus. To the extent possible under law, all contributors have waived all copyright and related or neighboring rights to this work.

Sparse modeling and Compressive sensing in Python

spm-image is a Python library for image analysis using sparse modeling and compressive sensing. To set up development environment, run the following commands. If you want to run examples, create sepa…

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

The GeostatsPy Package brings GSLIB: Geostatistical Library (Deutsch and Journel, 1998) functions to Python. GSLIB is a practical and extremely robust set of code for building spatial modeling workfl…

A python parametric CAD scripting framework based on OCCT

CadQuery is an intuitive, easy-to-use Python module for building parametric 3D CAD models. Using CadQuery, you can write short, simple scripts that produce high quality CAD models. It is easy to make…

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

Retentioneering is a Python library that makes analyzing clickstreams, user paths (trajectories), and event logs much easier, and yields much broader and deeper insights than funnel analysis. You can…

Predicts Daily NBA Games Using a Logistic Regression Model

Predicts NBA Games Using a Logistic Regression Model in Python The model uses eight factors scraped from stats.nba.com to determine the predicted result of an NBA game. Each stat is adjusted to per 1…

Machine learning based causal inference/uplift in Python

causeinfer can be downloaded from PyPI via pip or sourced directly from this repository: Separate models for treatment and control groups are trained and combined to derive average treatment effects…

Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design

This repository contains all the lectures and workshop materials for the workshop conducted during March-April 2020. The goal of this workshop is to teach the basics of different technical skills nee…

Analysis with Covid-19 data

"The COVID Tracking Project collects and publishes the most complete testing data available for US states and territories. It has been cited in and used by major media companies and agencies. The New…

Data processing and modelling framework for automating tasks (incl. Python & SQL transformations).

SAYN is a modern data processing and modelling framework. Users define tasks (incl. Python, automated SQL transformations and more) and their relationships, SAYN takes care of the rest. It is designe…

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

SeaLion is designed to teach today's aspiring ml-engineers the popular machine learning concepts of today in a way that gives both intuition and ways of application. We do this through concise algori…

do more with dbt. fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

Cheers! Yes, the project will remain available for use, but please be aware that no new updates or security patches will be provided moving forward. Unfortunately, none that we are aware of. We want …

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

Currently the following machine learning models are supported: The following machine learning models are currently under development: At the moment the following MPC and optimal control problems can …

DashTools - Plotly Dash Command Line Tools - Create, Run and Deploy Templated Python Apps from Terminal

DashTools is an open-source command line toolchain for Plotly Dash that makes creating and deploying dash projects to Heroku intuitive and easy. Install with: Run the dashboard with: Create projects …

《Python 数学建模算法与应用》- 司守奎，知识点笔记 & 代码 (Python Mathematical Modeling)

《Python 数学建模算法与应用》知识点与代码，按章节整理基于书籍内容完成，内容清晰，代码可运行，欢迎 Star 如果你希望

Implement pricing analytics and Monte Carlo simulations for stochastic volatility models including log-normal SV model, Heston

Implementation of pricing analytics and Monte Carlo simulations for modeling of options and implied volatilities. The StochVolPackage provides: For the analytic implementation of stochastic volatilit…

Efficient modeling interface for mathematical optimization in Python

It is designed as a very thin wrapper of native C API of optimizers and attempts to provide common abstractions of an algebraic modelling environment including model, variable, constraint and express…

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