#Modeling
Showing 60 of 60 repositories tagged #modeling, ranked by stars
A python parametric CAD scripting framework based on OCCT
Physics-Informed Neural networks for Advanced modeling
Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.
Model, simulate, and visualize discrete nonlinear dynamical systems, chaos, and fractals
A JavaScript framework to create and visualize 3D models.
A Python package to create, run, and post-process MODFLOW-based models.
Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
Arrays with arbitrarily nested named components.
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
Spatial data processing for geomodeling
Analysis & visualization of energy & climate scenarios
RadonPy is a Python library to automate physical property calculations for polymer informatics.
Collection of stats, modeling, and data science tools in Python and R.
A Compositional Object-Based Approach to Learning Physical Dynamics
Multivariate data modelling with Copulas in Python
The VBA toolbox
Turn your Swift data model into a working CRUD app.
View and edit BPMN diagrams in VSCode. Powered by bpmn.io tools.
Use Python like a spreadsheet!
Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
DashTools - Plotly Dash Command Line Tools - Create, Run and Deploy Templated Python Apps from Terminal
Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.
Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.
Collection of Matlab, Python and Jupyter Notebook scripts for Finite-Difference seismic wave simulation in 1-D and 2-D
UML Modeling Editor
Free 3D Modeling Tool
Run models inside a database using R
Ray Tracing and Optical Design in Python
Suite of tools for retrieving hydrological data and evaluating model output.
⚛️📈 Create and analyze chemical microkinetic models built from computational chemistry data. Crafted at the @geem-lab.
extensive Python library for rock physics modelling
Economics and Pricing in R
Crypto Beauty 密碼女孩 - 你專屬的區塊鏈少女卡片創作交易平台. Live on the TRON Blockchain.
Analytical Django Apps. No JavaScript Required.
Analysis with Covid-19 data
DSTC6: End-to-End Conversation Modeling Track
Enola 🕵🏾♀️ Holmes was an SRE.
Bayesian fitting package
Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.
Components and frameworks for building web-based modeling tools
Python package for canonical vine copula trees with mixed continuous and discrete marginals
A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Aliyun Open API and enables AI agents to perform cloud resources operations seamlessly.
Julia interface to climate models + tracked workflow framework
R package for handling Raven hydrologic modelling framework inputs, outputs, and diagnostics
Football Dataset Analysis group project
This repository contains the solutions for assignments of Data Science and Big Data Analytics(DSBDA) given by SPPU(2019-Pattern)
Curso diseñado para proporcionar una comprensión muy profunda del Trading Cuantitativo, fusionando los principios de Ingeniería Financiera con el poder de la Inteligencia Artificial, todo implementado en Python. Desarrollarás algoritmos y estrategias avanzadas que aprovechan datos financieros y técnicas de Inteligencia Artificial.
This document forms the basis of several workshops/talks that get into everyday programming with R, but also includes mirrored code in Python as Jupyter notebooks.
DescribeML is a Visual Studio Code language plug-in to describe machine-learning datasets in a structured format. Build better data describing the composition, provenance and social concerns of your dataset.
Calibrate and simulate linear propagator models for the price impact of an extrinsic order flow.
HAMLET: Hierarchical Agent-based Markets for Local Energy Trading
An LP problem with hiearchical objectives, modeled as a vehicle routing problem , implemented with gurobipy python API in a jupyter notebook, and solved by using the Gurobi solver
pystateye - A Python Implementation of Statistical Eye Analysis and Visualization
Gold Analysis, Trading Strategy, Backtesting, Prediction, and Communication (Email and Telegram notification chatbot) in Python
Convert MODFLOW input files to Python
A project to design a fact and dimension star schema for optimizing queries on a flight booking database using PostgreSQL, a relational database management system. This schema is well-suited for a flight booking database, as it allows for efficient querying of data such as booking dates, flight routes, and passenger information.
UC Berkeley Data 102 Textbook
Study notebooks made for learning machine learning for the Hawk team