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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).
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)
Methods for training and interpretation of an ensemble of neural networks for multi-task functional prediction of accessibility or histone modifications from DNA sequence.