Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Popular repositories
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Forked from yalaudah/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 Inter…
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gradcon-anomaly Public
Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"
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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 Tech…
Repositories
- Patient-Aware-Active-Learning Public
A modular plug-in method that integrates patient awareness into an active learning paradigm
- OLIVES_Dataset Public
- Explanatory-Paradigms Public
Code used in the paper `Explanatory Paradigms in Neural Networks', published in the Signal Processing Magazine
- Contrastive-Explanations Public
Code for generating Contrastive Explanations in Neural Networks published at ICIP 2020.
- Multiscale-fusion-for-seismic-geometric-attribute-enhancement Public
Codes for an abstract presented in SEG2017
- Estimation-of-acoustic-impedance-from-seismic-data-using-temporal-convolutional-network Public
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.
- Image21-Comparative-transfer-learning-seismic-inversion-causality Public
Repo contains codes for our abstract titled "A comparative study of transfer learning methodologies and causality for seismic inversion with temporal convolutional networks" accepted for presentation at the Image 2021 meeting in Denver, Colorado.
