Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
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Updated
Aug 30, 2023 - Jupyter Notebook
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Interpretability for sequence generation models 🐛 🔍
Collection of NLP model explanations and accompanying analysis tools
XAI Tutorial for the Explainable AI track in the ALPS winter school 2021
Overview of different model interpretability libraries.
A small repository to test Captum Explainable AI with a trained Flair transformers-based text classifier.
Trained Neural Networks (LSTM, HybridCNN/LSTM, PyramidCNN, Transformers, etc.) & comparison for the task of Hate Speech Detection on the OLID Dataset (Tweets).
Cyber Security AI Dashboard
End-to-end toxic Russian comment classification
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.
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.
XAI-Tris
Interpretable graph classifications using Graph Convolutional Neural Network
PyTorch Beginner Workshop (Brad Heintz)
Model interpretability for Explainable Artificial Intelligence
Collection of associated files for my bachelor thesis
Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its anal…
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