Ahmad Mustafa's Projects
3D Fault Segmentation by U-Net
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
Contains codes for our work on active learning on seismic interpretation.
The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network", in SEG Technical Program Expanded Abstracts, 2019.
My homepage's source code
Repo contains codes for our paper on modeling visual attention for seismic fault interpretation.
Repository Contains codes to visualize Caltech Pedestrian Detection Dataset with bounding box annotations.
Contains Codes for Facies Classification on Parihaka Dataset as released by SEG for the ML contest 2020
Identify and extract individual 3D faults from a fault volume
fault picking with 3D-UNets
Full Waveform Inversion for Transmission Ultrasound Computed Tomography with Transmitting and Receiving Linear Array Transducers based on the Angular Spectrum Method
Collection of geophysical notes in the form of IPython/Jupyter notebooks.
data-driven seismic horizon tracking using non-local dynamic time warping
My solutions to Kevin Murphy Machine Learning Book
The simplest diffusion model in PyTorch, with Apple M chip acceleration support.
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
ResACEUnet: An improved Transformer Unet Model for 3D seismic fault detection
Contains Codes for accepted Geophysics paper demonstrating joint learning for seismic inversion with spatial context
Contains codes for our abstract accepted for presentation to SEG 2020 Annual Meeting.
Notebooks with examples and demos of segyio
A couple of python scripts to interpret geological structures from geophysical images using deep learning
The ultimate lightweight Matplotlib-based seismic volume viewer with multi-view support and horizon visualization capabilities.
Contains codes for our paper titled ''Joint Learning for Spatial Context-based Seismic Inversion of Multiple Datasets for Improved Generalizability and Robustness" accepted to Geophysics.
The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network", in SEG Technical Program Expanded Abstracts, 2019.
This repository contains demos I made with the Transformers library by HuggingFace.
Geophysical Tutorials column for 2017
Robust Speech Recognition via Large-Scale Weak Supervision