yuvarajendra Goto Github PK

aerodynamics---matlab

MATLAB codes for calculating the forces on a delta wing and boundary layer profiles

aiml-cfd

CMU 24-787 Artificial Intelligence and Machine Learning Project: A Machine Learning Framework for Predicting Errors in the Numerical Solutions of Navier-Stokes Equations

aircraft-conceptual-design

This project aims on designing a logistics UAV for transportation of medical goods.

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

applied-deep-learning

Applied Deep Learning Course

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

battery_digital_twin

This repository contains the scripts and preprocessed data to recreate the figures and results presented in the paper: A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives

bug2.0_algorithm_for-webots

cfd-discretization-schemes

Discretization of elements or a material using FEM (Finite Element Method)

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cnn-ae-deeponet

Learning two-phase microstructure evolution using neural operators and autoencoder architectures

coarse_to_fine_hs_piv

coarse-to-fine variational optical flow method for fluid flows

constraint-sizing-diagram-for-an-uav

Constraint sizing diagram plays a vital part during the preliminary design stages of an aircraft or a fixed wing UAV. The diagram is generated with the help of preliminary estimates or specifications that are determined or derived based on the mission, nature of the build of an aircraft and functions of it.

controlnet

Let us control diffusion models!

convolutional-lstms-for-motion-forcasting

Keras-tensorflow code for training a frame-by-frame binary classifier with video input + code for computing targets.

coursera-intro-to-machine-learning-duke-university

Repository with the programming assignments from Introduction to Machine Learning Course of Duke University on Coursera.

curriculum-vitae

cylinder2dflowcontroldrl

code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning

deep-learning-materials

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-velocity-estimation

Speed estimation from a single dashboard camera using Deep Convolutional Networks

deepcfd

DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

deeptrack-2.0

DeepTrack-2.0

delta-plate

Calculate forces on a delta wing (Delta plate is used for simplification)

flow-transforms-pytorch

Common functions for augmenting data to train deep optical flow models in PyTorch.

flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

flownetpytorch

Pytorch implementation of FlowNet by Dosovitskiy et al.

fluidnet

Accelerating Eulerian Fluid Simulation With Convolutional Networks

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

ghost

A new one shot face swap approach for image and video domains

harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?