summerscope / mapping-fair-mlLinks
πA curated list of links and resources for Fair ML and Data Ethics
β18Updated 3 years ago
Alternatives and similar repositories for mapping-fair-ml
Users that are interested in mapping-fair-ml are comparing it to the libraries listed below
Sorting:
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shiftβ30Updated 4 years ago
- β17Updated 5 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"β31Updated 5 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confoundingβ24Updated 3 years ago
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"β13Updated 4 years ago
- Measuring data importance over ML pipelines using the Shapley value.β43Updated 4 months ago
- Vectorizers for a range of different data typesβ103Updated 3 months ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.β20Updated 3 years ago
- SPEAR: Programmatically label and build training data quickly.β109Updated last year
- Ludwig benchmarkβ19Updated 3 years ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to productionβ¦β29Updated 2 years ago
- AutoML Two-Sample Testβ19Updated 3 years ago
- Reading history for Fair ML Reading Group in Melbourneβ36Updated 4 years ago
- Generate amazing umap network graphsβ11Updated 4 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"β54Updated 5 years ago
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchiβ¦β35Updated last year
- Simple ranking metrics for PyTorch on CPU or GPUβ15Updated 5 years ago
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognitionβ31Updated 3 years ago
- Learning from Graphs: From Mathematical Principles to Practical Toolsβ11Updated 4 years ago
- A library to instantiate any Python object from configuration files.β24Updated 3 years ago
- A deep learning framework for building multimodal multi-task learning systems.β112Updated 2 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labelingβ30Updated 4 years ago
- Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"β64Updated 3 years ago
- β30Updated 3 years ago
- Hyperparameter tuning via uncertainty modelingβ49Updated last year
- Easily serialize dataclasses to and from tensors (PyTorch, NumPy)β18Updated 4 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119β¦β107Updated last year
- This Python package implements algorithms for multiviews (multimodals) learningβ14Updated last year
- Generating Training Data Made Easyβ43Updated 5 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stanβ¦β53Updated 2 years ago