alirezashadmani

alirezashadmani's Stars

• idaholab/moose

  Multiphysics Object Oriented Simulation Environment

  Language:C++1.7k1k

• lukas-blecher/LaTeX-OCR

  pix2tex: Using a ViT to convert images of equations into LaTeX code.

  Language:Python12k984

• tensorspace-team/tensorspace

  Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

  Language:JavaScript5k444

• wafo-project/pywafo

  Wave Analysis for Fatigue and Oceanography

  Language:Jupyter Notebook9442

• Bostanabad-Research-Group/pgcan

  Parametric Grid Convolutional Attention Networks (PGCANs) for Solving PDE Systems

  Language:Python7

• dhaselib/Fixed-Leg-Platform-Time-Domain-Modeling-Python

  Python code for modeling time domain responses of fixed leg platforms inspired by "Dynamics of Offshore Structures". Includes step-by-step breakdowns and visuals. Feedback welcome!

  Language:Jupyter Notebook1

• ARTS-Laboratory/IoT-Cellular-Dam-Water-Level-Sensor

  A stage sensor developed by Dam Safety interns at the SC DHEC.

  Language:C++21

• benmoseley/FBPINNs

  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

  Language:Python29359

• EPFL-IMOS/crack-explanations

  Code for "From classification to segmentation with explainable AI: A study on crack detection and growth monitoring" (Automation in Construction 2024)

  Language:Python5

• Bostanabad-Research-Group/GP-Plus

  Python Library for Generalized Gaussian Process Modeling

  Language:Python156

• jomorlier/feacourse

  Materials for my Computational Solid Mechanics course using Finite Element Analysis

  Language:HTML249

• SergeiVKalinin/ACerS_AE_2024

  Materials for ACerS Automated Experiment Course

  Language:Jupyter Notebook205

• kinnala/scikit-fem

  Simple finite element assemblers

  Language:Python49579

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook10.2k3k

• HandsOnOpenCL/Exercises-Solutions

  C, C++ and Python Code for Exercises and Solutions

  Language:C++491184

• thealanjason/umat_finite_viscoelasticity

  User Material Model Implementation (UMAT) based on Finite Viscoelasticity Theory for Hydrogels in Abaqus

  Language:Fortran174

• BBahtiri/viscoelastic_viscoplastic_model

  A finite element implementation of a viscoelastic viscoplastic constitutive model using the deal.ii library with the option to include a pretrained Deep-Learning model

  Language:C++64

• NREL/pyvisco

  Pyvisco is a Python library that supports the identification of Prony series parameters for Generalized Maxwell models describing linear viscoelastic materials.

  Language:Jupyter Notebook71

• adtzlr/matadi

  Material Definition with Automatic Differentiation

  Language:Python202

• SoftwareDevEngResearch/PyFAT

  Python Fatigue Testing Data Analysis Package

  Language:Python32

• Deci-AI/super-gradients

  Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

  Language:Jupyter Notebook4.5k490

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30k7.4k

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.4k2.4k

• ammarkh95/ABAQUS_PDALAC

  Development of the Failure Criteria for Composites using ABAQUS Subroutines (UMAT/VUMAT)

  Language:Fortran13044

• rutger-kok/composite_cdm_ap_ply

  Continuum damage mechanics framework for AP-PLY composites implemented as an Abaqus VUMAT subroutine.

  Language:Fortran226

• hydroclimali/XEE_tutorial

  Language:Jupyter Notebook558

• piiswrong/dec

  Language:Jupyter Notebook455138

• CAEMaster/abaqus-material-lab

  abaqus basic material lab

  2

• thieu1995/MetaCluster

  MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems

  Language:Python113

• MET-OM/dnora

  Dynamical downscaling of NORA3 wave hindcast

  Language:Python176