rushrukh / awesome-explainable-aiLinks
A repository for summaries of recent explainable AI/Interpretable ML approaches
☆80Updated 10 months ago
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?☆33Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 6 months ago
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated 11 months ago
- Data Optimization in Deep Learning: A Survey☆19Updated last year
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆108Updated last year
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆94Updated last year
- PyTorch Explain: Interpretable Deep Learning in Python.☆159Updated last year
- This is a list of awesome prototype-based papers for explainable artificial intelligence.☆38Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- Conformal Language Modeling☆31Updated last year
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆64Updated 2 months ago
- Existing literature about training-data analysis.☆17Updated 3 years ago
- Concept Bottleneck Models, ICML 2020☆208Updated 2 years ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆177Updated 3 weeks ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆125Updated 5 months ago
- ☆31Updated 8 months ago
- Papers and online resources related to machine learning fairness☆73Updated 2 years ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆81Updated last year
- The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…☆112Updated last year
- A collection of resources and information for concrete skills that are helpful when pursuing a PhD in computer science (specifically in M…☆23Updated 2 years ago
- A curated list of trustworthy deep learning papers. Daily updating...☆371Updated 2 weeks ago
- A Python Data Valuation Package☆30Updated 2 years ago
- [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction☆56Updated last year
- ☆32Updated last year
- Code release for the paper Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning☆30Updated 3 years ago
- code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"☆125Updated last year
- ☆37Updated 2 years ago
- ☆31Updated 3 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆80Updated last year