Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
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Updated
Aug 16, 2019 - Python
Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
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).
Quran Tafseer REST APIs and Quran Text
Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
The Metacognitive Integrated Dual-Cycle Architecture (MIDCA)
Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles
Interpreting Deep Neural Networks with PyTorch
The interactive demo of the interpretation of the anomaly detection with Triadic Motif Fields.
WebApp for DNA variants interpretation
Building the epistemic web
Algorithms for processing and interpreting potential-field data in Geophysics
Create cancer bioinformatics reports from metadata and workflow output
Retrospective Extraction of Visual and Logical Insights for Ontology-based interpretation of Neural Networks
Methods for training and interpretation of an ensemble of neural networks for multi-task functional prediction of accessibility or histone modifications from DNA sequence.
Table Collector enabling to harvest web tables in the wild, from the Common Crawl, mediawiki and the Web at large. Tables are json-ified and stored in ArrangoDB. Tables are then semantically annotated (interpreted)
Web app for clinical interpretation of Ion Reporter variant results
Structure and Interpretation of Computer Programs, Berkeley, Fall 2017
The backend for Adage web app
IN PROGRESS - after the paper "Shapley-Lorenz decompositions in eXplainable Artificial Intelligence" by Giudici and Raffinetti - 2020
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