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Search results for natural language processing explainable ai
explainable-ai
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natural-language-processing
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13 search results found
Deep Learning Drizzle
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10,767
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Transformers Interpret
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1,090
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Awesome Open Data Centric Ai
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630
Curated list of open source tooling for data-centric AI on unstructured data.
Datascience_artificialintelligence_utils
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369
Examples of Data Science projects and Artificial Intelligence use-cases
Automated Fact Checking Resources
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303
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
Inseq
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254
Interpretability for sequence generation models 🐛 🔍
Dialogue Understanding
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82
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Neurox
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73
A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.
Grasp
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66
Essential NLP & ML, short & fast pure Python code
Expmrc
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59
ExpMRC: Explainability Evaluation for Machine Reading Comprehension
Visner
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52
In the wild extraction of entities that are found using Flair and displayed using a very elegant front-end.
Azimuth
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50
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
Potato
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44
XAI based human-in-the-loop framework for automatic rule-learning.
Wikiwhy
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38
WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000+ "why" question-answer-rationale triplets.
Iprompt
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33
Finding semantically meaningful and accurate prompts.
Biaslyze
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28
The NLP Bias Identification Toolkit
Bert_attn_viz
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25
Visualize BERT's self-attention layers on text classification tasks
Merlin
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14
MERLIN is a global, model-agnostic, contrastive explainer for any tabular or text classifier. It provides contrastive explanations of how the behaviour of two machine learning models differs.
Fact Checking Survey
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9
Repository for the COLING 2020 paper "Explainable Automated Fact-Checking: A Survey."
Interpret Flair
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6
A small repository to test Captum Explainable AI with a trained Flair transformers-based text classifier.
Text Ebano Express
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5
T-EBAnO: Explaining deep learning black-box models for Natural Language Processing.
Anchors_text_theory
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5
A Sea of Words: An In-Depth Analysis of Anchors for Text Data
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1-13 of 13 search results
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