Pinned Repositories
TimeMAE
Attention-based-self-calibrated-convolution-neural-network-for-efficient-facies-classification
Elastic-Impedance-Inversion-Using-Recurrent-Neural-Networks
Codes and data for the paper: M. Alfarraj, and G. AlRegib, "Semi-Supervised Sequence Modeling for Elastic Impedance Inversion," in Interpretation, Aug. 2019
facies_classification_benchmark
The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (accepted for publication in the SEG Interpretation Journal, May 2019).
Geophysics2018_structure_label_prediction
Codes for the paper: Y. Alaudah, M. Alfarraj, and G. AlRegib, "Structure Label Prediction Using Similarity-Based Retrieval and Weakly-Supervised Label Mapping," in Geophysics, 2018.
Multiresolution-Analysis-and-Learning-for-Computational-Seismic-Interpretation
Multiscale-fusion-for-seismic-geometric-attribute-enhancement
Codes for an abstract presented in SEG2017
seismic-deeplearning
Deep Learning for Seismic Imaging and Interpretation
Semi-supervised-Learning-for-Acoustic-Impedance-Inversion
Codes and data for the paper: M. Alfarraj and G. AlRegib, "Semi-Supervised Learning for Acoustic Impedance Inversion," in Expanded Abstracts of the SEG Annual Meeting, Sep. 15-20 2019.
facies_classification_benchmark
The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).
motazalfarraj's Repositories
motazalfarraj/Elastic-Impedance-Inversion-Using-Recurrent-Neural-Networks
Codes and data for the paper: M. Alfarraj, and G. AlRegib, "Semi-Supervised Sequence Modeling for Elastic Impedance Inversion," in Interpretation, Aug. 2019
motazalfarraj/Semi-supervised-Learning-for-Acoustic-Impedance-Inversion
Codes and data for the paper: M. Alfarraj and G. AlRegib, "Semi-Supervised Learning for Acoustic Impedance Inversion," in Expanded Abstracts of the SEG Annual Meeting, Sep. 15-20 2019.
motazalfarraj/facies_classification_benchmark
The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (accepted for publication in the SEG Interpretation Journal, May 2019).
motazalfarraj/Multiresolution-Analysis-and-Learning-for-Computational-Seismic-Interpretation
motazalfarraj/Attention-based-self-calibrated-convolution-neural-network-for-efficient-facies-classification
motazalfarraj/Multiscale-fusion-for-seismic-geometric-attribute-enhancement
Codes for an abstract presented in SEG2017
motazalfarraj/Geophysics2018_structure_label_prediction
Codes for the paper: Y. Alaudah, M. Alfarraj, and G. AlRegib, "Structure Label Prediction Using Similarity-Based Retrieval and Weakly-Supervised Label Mapping," in Geophysics, 2018.
motazalfarraj/seismic-deeplearning
Deep Learning for Seismic Imaging and Interpretation