WebApp for DNA variants interpretation
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Updated
Jul 6, 2024 - Python
WebApp for DNA variants interpretation
Algorithms for processing and interpreting potential-field data in Geophysics
The backend for Adage web app
Retrospective Extraction of Visual and Logical Insights for Ontology-based interpretation of Neural Networks
Quran Tafseer REST APIs and Quran Text
Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles
Building the epistemic web
A Flask application allowing the user to upload a ECG to a webserver and get a prediction back
The Metacognitive Integrated Dual-Cycle Architecture (MIDCA)
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).
Methods for training and interpretation of an ensemble of neural networks for multi-task functional prediction of accessibility or histone modifications from DNA sequence.
Web app for clinical interpretation of Ion Reporter variant results
The interactive demo of the interpretation of the anomaly detection with Triadic Motif Fields.
IN PROGRESS - after the paper "Shapley-Lorenz decompositions in eXplainable Artificial Intelligence" by Giudici and Raffinetti - 2020
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)
Interpreting Deep Neural Networks with PyTorch
Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
Structure and Interpretation of Computer Programs, Berkeley, Fall 2017
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