mim-uw / eXplainableMachineLearning-2023Links
eXplainable Machine Learning 2022 at MIM UW
☆20Updated 2 years ago
Alternatives and similar repositories for eXplainableMachineLearning-2023
Users that are interested in eXplainableMachineLearning-2023 are comparing it to the libraries listed below
Sorting:
- Interpret text data with LLMs (sklearn compatible).☆172Updated 2 months ago
- Introduction to Data-Centric AI, MIT IAP 2024 🤖☆103Updated 6 months ago
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆125Updated 2 years ago
- ☆100Updated 3 weeks ago
- Gzip and nearest neighbors for text classification☆57Updated 2 years ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆18Updated 2 years ago
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆242Updated 5 months ago
- Extending Conformal Prediction to LLMs☆68Updated last year
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆202Updated last year
- ML/DL Math and Method notes☆65Updated 2 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆69Updated 2 years ago
- Course for Interpreting ML Models☆52Updated 2 years ago
- Cross-field empirical trends analysis of XAI literature☆22Updated 2 years ago
- Mixture of Decision Trees for Interpretable Machine Learning☆11Updated 4 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆89Updated 3 years ago
- A novel approach for synthesizing tabular data using pretrained large language models☆335Updated 3 weeks ago
- ☆108Updated last year
- A Natural Language Interface to Explainable Boosting Machines☆69Updated last year
- ☆203Updated 2 months ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆153Updated 3 years ago
- Forecasting Future World Events with Neural Networks (NeurIPS 2022)☆183Updated 2 years ago
- Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"☆64Updated 3 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- A curated list of awesome academic research, books, code of ethics, courses, databases, data sets, frameworks, institutes, maturity mode…☆100Updated last week
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆65Updated 3 years ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆44Updated last month
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- Rule Extraction Methods for Interactive eXplainability☆48Updated 3 years ago
- A build-it-yourself AutoML Framework☆72Updated last year
- Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network☆80Updated 2 years ago