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Model interpretability for Explainable Artificial Intelligence
Model explainability that works seamlessly with ? transformers. Explain your transformers model in just 2 lines of code.
Apache Spark Connector for Azure Cosmos DB
Collection of NLP model explanations and accompanying analysis tools
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
XAI Tutorial for the Explainable AI track in the ALPS winter school 2021
Overview of different model interpretability libraries.
code, labs and lectures for the course
A small repository to test Captum Explainable AI with a trained Flair transformers-based text classifier.
Repository of notebooks and related collateral used in the Databricks Demo Hub, showing how to use Databricks, Delta Lake, MLflow, and more.
Trained Neural Networks (LSTM, HybridCNN/LSTM, PyramidCNN, Transformers, etc.) & comparison for the task of Hate Speech Detection on the OLID Dataset (Tweets).