DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

Polycrystal generation and meshing

Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.

To classify trades into buyer- and seller-initiated.

micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below

Microstructure modeling, mesh generation, analysis, and visualization.

Cellular automata code for alloy nucleation and solidification written with Kokkos

MATBOX is an open-source MATLAB toolbox dedicated to microstructure analsyis of porous/heterogeneous materials

An Optimized, Easy-to-use, Open-source GPU Solver for Large-scale Inverse Homogenization Problems

Toolbox for particulate microstructure modelling

visualize financial microstructure 📈 & debug trading bots 🤖

MicroSim is a project under the National Supercomputing Mission, Govt of India. The project offers a set of codes that can use high performance computing to simulate microstructure evolution using the Phase Field technique. Follow us on LinkedIn: https://www.linkedin.com/company/microstructure-simulator/

My quant portfolio leverages quantitative finance and data-driven insights to optimize investment strategies. Using advanced models, statistical analysis, and machine learning, I develop systematic trading strategies to capitalize on market inefficiencies and generate alpha.

A MATLAB/C++ implementation of solid texture synthesis algorithms for constructing statistically representative 3D microstructure datasets from only 2D data.

This repository contains the code of UtiliziNg tRActography to uncoVEr muLti-fixel microstructure (UNRAVEL).

Script for the generation of finite-thickness interface elements for polycrystal microstructure modelling

Gray-matter Based Spatial Statistics

Graded Multiscale Fluid Topology Optimization using Neural Networks

A scikit-learn compatible classifier to perform trade classification in Python.

This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction

FANS: an open-source, highly efficient, and parallel FFT-based homogenization solver for microscale multiphysics problems.

GAN for synthesizing microstructures based on processing conditions.

Microstructure Modeling and Simulation. Generate microstructures using site-saturation condition, and simulate grain growth using Monte Carlo Potts Model.

MATLAB and Python code for generating 2D and 3D synthetic polycrystalline microstructures using Laguerre tessellations.

Computing (optimal) anisotropic power diagrams using GPU acceleration

Optimising microstructures numerically (OMicroN). Full field physics-based simulation package for metallic microstructure during treatments. The package includes solid state transformations (phase transformations, recrystallization, grain growth) as well as solute redistribution (carbon partitioning / diffusion / trapping to defects).

The repository for the Physics-Regulated Interpretable Machine Learning Microstructure Evolution (PRIMME) framework for learning and emulating microstructure grain growth.

A simple software for constructing artificial binary microstructures in 2D or 3D

Scalable implementation of Lee / Mykland (2012), Ait-Sahalia / Jacod (2012) and Ait-Sahalia / Jacod / Li (2012) Jump tests for noisy high frequency data

The backend algorithms and framework associated with DREAM3DNX, a data analysis program for materials science data analytics