A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
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Updated
May 26, 2024 - Python
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Library for Semi-Automated Data Science
The prime repository for state-of-the-art Multilingual Question Answering research and development.
Regression Transformer (2023; Nature Machine Intelligence)
Interpretability and explainability of data and machine learning models
Natural Language (NL) to Linear Temporal Logic (LTL)
This repo includes code referenced in the paper A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning by Alexander Zadorojniy, Takayuki Osogami, and Orit Davidovich to appear in IJCAI 2023.
Semantic Search for Sustainable Development is experimental code for searching documents for text that "semantically" corresponds to any of the UN's Sustainable development goals/targets. For example, it can be used to mine the national development plan documents of a country and identify pieces of text that correspond to any of the SDGs in orde…
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
Planning tasks succinctly represent labeled transition systems, with each ground action corresponding to a label. This granularity, however, is not necessary for solving planning tasks and can be harmful, especially for model-free methods. In this work, we propose automatic approach to reduce the label sets for planning domains.
code repo associated to the ACL 2023 paper "DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications"
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
Forecasting mixed migration for the Danish Refugee Council.
A Testing Framework for Decision-Optimization Model Learning Algorithms
Reinforcement learning project that investigates different methods of learning skills that are beneficial for decision making
Quality Controlled Paraphrase Generation (ACL 2022)
Knowledge-Aware RL agents with Commonsense Reasoning
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