rushrukh / awesome-explainable-aiLinks
A repository for summaries of recent explainable AI/Interpretable ML approaches
☆86Updated last year
Alternatives and similar repositories for awesome-explainable-ai
Users that are interested in awesome-explainable-ai are comparing it to the libraries listed below
Sorting:
- Code for paper: Are Large Language Models Post Hoc Explainers?☆34Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 9 months ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆71Updated last month
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆99Updated 2 years ago
- Conformal Language Modeling☆32Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆249Updated last year
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆123Updated last year
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆203Updated 4 months ago
- Concept Bottleneck Models, ICML 2020☆227Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆164Updated last year
- A Python Data Valuation Package☆30Updated 2 years ago
- This is a list of awesome prototype-based papers for explainable artificial intelligence.☆39Updated 2 years ago
- A curated list of trustworthy deep learning papers. Daily updating...☆376Updated 2 weeks ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆87Updated last year
- Papers and online resources related to machine learning fairness☆73Updated 2 years ago
- Existing literature about training-data analysis.☆17Updated 3 years ago
- Data Optimization in Deep Learning: A Survey☆19Updated 2 years ago
- This is a collection of papers and other resources related to fairness.☆94Updated 2 weeks ago
- ☆32Updated 11 months ago
- ☆157Updated last year
- ☆38Updated 2 years ago
- code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"☆137Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- Fairness in LLMs resources☆38Updated 2 weeks ago
- ☆31Updated 3 years ago
- Using Explanations as a Tool for Advanced LLMs☆69Updated last year
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆133Updated 9 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆83Updated last year
- Awesome coreset/core-set/subset/sample selection works.☆182Updated last year