irfan-gh,Irfan Alam,github

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

acsurrogatetune

A hub for discovering optimal Deep Neural Network models by fine-tuning hyperparameters, specifically tailored for crafting an effective surrogate model in aircraft conceptual design.

ae6310

Jupyter Notebooks for AE6310: Optimization for the Design of Engineering Systems

aero-model

Aerodynamic model for DEP aircraft with propellers in front of the wing

aerodynamic-shape-optimization

Python scripts related to aerodynamic analysis and shape optimization

aeromatic

A web application to generate configuration files for the JSBSim Flight Dynamics Model.

aeromdao.jl

A toolbox meant for aircraft design analyses.

aeropython

Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

aerosandbox

Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

airfoil-opt-gan

Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"

airfoilann

Official repository of paper, entitled "Airfoil’s Aerodynamic Coefficients Prediction using Artificial Neural Network". https://arxiv.org/abs/2109.12149

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ansys-wb-batch-script

Python scripts to use in ANSYS Workbench Batch mode. No Python package installation needed. Supports Parametric input/output. Uses only in-build ANSYS tools.

apc-prop-analyzer

Tools for analyzing the propeller performance data published by APC Propellers in their website.

apc-propellers-dl-model

A deep learning model for the regression problem of predicting the APC propellers thrust at various airspeed when given the propeller size and a certain rpm.