Pinned Repositories
Aero-model
Aerodynamic model for DEP aircraft with propellers in front of the wing
Aircraft-Flight-Mechanics
BladeX
BladeX - Python Blade Morphing
DawnDesignTool
Dawn Design Tool
Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
Energy-management-hybrid-aircraft
Predictive energy management for hybrid-electric aircraft with parallel propulsion system.
FAST-GA
FAST-(OAD)-GA is a framework for performing rapid Overall Aircraft Design for General Aviation Aircraft
prop-design
Python wrapped QMil and QProp used to design propellers for HALE UAV in 16.82 Flight Vehicle Development
pyBEMT
Implementation of the Blade Element Momentum Theory for turbines and propellers in Python
shape_as_points
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
irfan-gh's Repositories
irfan-gh/Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
irfan-gh/shape_as_points
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
irfan-gh/AeroMDAO.jl
A toolbox meant for aircraft design analyses.
irfan-gh/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
irfan-gh/BeautifulAlgorithms.jl
Concise and beautiful algorithms written in Julia
irfan-gh/bridge_post
irfan-gh/CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
irfan-gh/CV
:scroll: My Data Driven CV written with R, YAML, & LaTeX
irfan-gh/dash-sample-apps
Open-source demos hosted on Dash Gallery
irfan-gh/Deep-Learning-Specialization-Coursera
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
irfan-gh/DuneAI-Automated-detection-and-segmentation-of-non-small-cell-lung-cancer-computed-tomography-images
Repository supporting the original research paper in Nature Communications (Primakov et al. 2022)
irfan-gh/esc_test
Analysis and plotting for motor/prop/ESC characterization, thrust vs RPM and torque vs thrust
irfan-gh/gpkit-1
Geometric programming for engineers
irfan-gh/harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
irfan-gh/machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
irfan-gh/mdocourse
Materials for my Structural and Multidisciplinary Design Optimization course
irfan-gh/MSE2001python
Files for the MSE2001 course Introduction to Python for Materials Engineers
irfan-gh/OptimizationCourse
Materials for the optimization course [Matlab and Julia]
irfan-gh/parametric_cgx_model
Parametric shell half-wing model geometry creation and meshing in CGX, followed by Nastran normal modes (SOL103) analysis.
irfan-gh/PropellerBladeDesign
A repository for tools that generate 3-D models of aerodynamic elements for axial flow machines
irfan-gh/pyaeroopt
irfan-gh/python_plot_utils
A simple code for plotting figure, colorbar, and cropping with python
irfan-gh/PythonFOAM
In-situ data analyses and machine learning with OpenFOAM and Python
irfan-gh/resources
Supplementary resources for the textbook Engineering Design Optimization by Joaquim R. R. A. Martins and Andrew Ning
irfan-gh/simple-bash-scripts
A collection of simple Bash scripts
irfan-gh/simple-pytest-tutorial
irfan-gh/Splipy
Spline modelling made easy.
irfan-gh/Transfer-learning-strategies-for-solar-power-forecasting-under-data-scarcity
Accompanying scripts and models for paper "Transfer learning strategies for solar power1 forecasting under data scarcity"
irfan-gh/youtube_channel
Notebooks for the python tutorials of my youtube channel. See specific youtube video for link to specifc notebook.
irfan-gh/zappy
load flow analysis for AC and DC electric systems with analytic derivatives, implemented in OpenMDAO