Asparuh Stoyanov's repositories
machine-learning-applied-to-cfd
Examples of how to use machine learning algorithms in computational fluid dynamics.
Vibration-analysis-of-a-simplified-model-of-an-industrial-washing-machine-with-Matlab-and-Simulink
Vibration analysis of a simplified model of an industrial washing machine with Matlab and Simulink.
3D-Machine-Learning
A resource repository for 3D machine learning
Blender-FLIP-Fluids
The FLIP Fluids addon is a tool that helps you set up, run, and render high quality liquid fluid effects all within Blender, the free and open source 3D creation suite.
build-your-own-x
🤓 Build your own (insert technology here)
CFD-DeepLearning-UNET
CFD-DeepLearning-UNET
Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
deepxde
Deep learning library for solving differential equations and more
delfem2
Research prototyping framework for physics simulation written in C++
EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
FBPINNs
Reproduces the results of the paper "Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations".
flowtorch
flowTorch - a Python library for analysis and reduced-order modeling of fluid flows
GazeTR
The codes and models in 'Gaze Estimation using Transformer'.
harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
Image-Super-Resolution-via-Iterative-Refinement
Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch
node-occ
build BREP Solids with OpenCascade and NodeJS - 3D Modeling
openpiv-podbox
OpenPIV Proper Orthogonal Decomposition (POD) Matlab Toolbox
paparazzi
Paparazzi is a free and open-source hardware and software project for unmanned (air) vehicles. This is the main software repository.
PGML
This repository contains codes related to our work on physics-guided machine learning.
PINNs-1
Physics Informed Neural Networks
point-e
Point cloud diffusion for 3D model synthesis
PyGeM
Python Geometrical Morphing
pySINDy
SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
PythonFOAM
In-situ data analyses and machine learning with OpenFOAM and Python
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
sdf3d
3D Signed Distance Field
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.