Interpretability Metrics
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Updated
Jan 14, 2022 - Python
Interpretability Metrics
COVID-19 forecasting model for East Java cities using Joint Learning. My undergrad thesis.
Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…
OdoriFy is an open-source tool with multiple prediction engines. This is the source code of the webserver.
We introduce XBrainLab, an open-source user-friendly software, for accelerated interpretation of neural patterns from EEG data based on cutting-edge computational approach.
This repository contains the source code for Indoor Scene Detector, a full stack deep learning computer vision application.
End-to-end toxic Russian comment classification
Interpretability for sequence generation models 🐛 🔍
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