ovcharenkoo Goto Github PK
Name: Oleg Ovcharenko
Type: User
Company: NVIDIA
Bio: ok
Location: Dubai, UAE
Blog: ovcharenkoo.com
Name: Oleg Ovcharenko
Type: User
Company: NVIDIA
Bio: ok
Location: Dubai, UAE
Blog: ovcharenkoo.com
Anisotropic seismic modeling in time domain.
Acoustic wave propagation in 2D domain using CUDA, O(2,8). Solve second order wave equation in time domain using finite-differences.
Just creates distorted grid and it's undeformeg analog, and calculates Jacobian in each point
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.
2D time-domain isotropic (visco)elastic FD modeling and full waveform inversion (FWI) code for P/SV-waves
Presentation material for the three online plenum sessions
Here you will find all the info you need to know to participate in the 2024 EAGE Annual Hackathon in Oslo!
Neural style transfer applied to elastic subsurface models [SEG19]. Visualized and explained.
Image Inpainting via Generative Multi-column Convolutional Neural Networks
Material for KAUST and Iraya's virtual summer school on Utilising unstructured data in geoscience.
Boundary-fitting curvilinear grid instead of cartesian
matlab_seicm_ADEPML_elastic_RK4_8o
Multi-task learning for low-frequency extrapolation and elastic model building
Step-by-step from synthetic data generation to LoRA fine-tuning with NeMo Framework
Personal website of Oleg Ovcharenko
3D acoustic wave propagation in homogeneous isotropic media using PETSc and Krylov space method
physics-informed neural network for elastodynamics problem
Fast approximate simulation of seismic waves using WaveNet
Main Madagascar source
Unsupervised Domain Adaptation through Self-Supervision
Converts VSP (receivers in a well) seismic data to SSP (virtual receivers on the surface) by correlation.
Single-file implementations of 2D and 3D acoustic and elastic wave propagation in time domain using finite-differences(FDTD). Simple formulation and implementation
Sample code from the book "Professional CUDA C Programming"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.