captum

#自然语言处理#Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

翻译 - 模型可解释性，可与🤗变压器无缝配合。仅用两行代码来说明您的变压器模型。

#自然语言处理#Interpretability for sequence generation models 🐛 🔍

#自然语言处理#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.

#自然语言处理#A small repository to test Captum Explainable AI with a trained Flair transformers-based text classifier.

#自然语言处理#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

Training a CNN to recognize the current Go position with photorealistic renders

#自然语言处理#End-to-end toxic Russian comment classification

#计算机科学#We introduce XBrainLab, an open-source user-friendly software, for accelerated interpretation of neural patterns from EEG data based on cutting-edge computational approach.

#计算机科学#This repository contains the source code for Indoor Scene Detector, a full stack deep learning computer vision application.

#计算机科学#XAI-Tris

Interpretable graph classifications using Graph Convolutional Neural Network

#自然语言处理#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 clas...

Model interpretability for Explainable Artificial Intelligence

#计算机科学#OdoriFy is an open-source tool with multiple prediction engines. This is the source code of the webserver.

#自然语言处理#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_cl...

#计算机科学#PyTorch Beginner Workshop (Brad Heintz)

#计算机科学#Collection of associated files for my bachelor thesis