rushrukh / awesome-explainable-aiLinks
A repository for summaries of recent explainable AI/Interpretable ML approaches
☆88Updated 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
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆73Updated last week
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated last year
- Data Optimization in Deep Learning: A Survey☆19Updated 2 years ago
- This is a list of awesome prototype-based papers for explainable artificial intelligence.☆41Updated 3 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆124Updated 2 years ago
- A Python Data Valuation Package☆32Updated 3 years ago
- 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
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆132Updated last year
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆219Updated 6 months ago
- Concept Bottleneck Models, ICML 2020☆239Updated 2 years ago
- Existing literature about training-data analysis.☆17Updated 4 years ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆89Updated last year
- ☆34Updated last year
- PyTorch Explain: Interpretable Deep Learning in Python.☆169Updated last year
- Awesome coreset/core-set/subset/sample selection works.☆182Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- A curated list of trustworthy deep learning papers. Daily updating...☆381Updated 3 weeks ago
- Papers and online resources related to machine learning fairness☆75Updated 2 years ago
- Conformal Language Modeling☆32Updated 2 years ago
- This is a collection of papers and other resources related to fairness.☆95Updated 2 months ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆136Updated 11 months ago
- [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…☆25Updated 6 months ago
- [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction☆66Updated last year
- An amortized approach for calculating local Shapley value explanations☆105Updated 2 years ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆26Updated 10 months ago
- ☆33Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 3 years ago
- Efficient Full Causal Graph Discovery Using Large Language Models☆47Updated last year