aida-ugent / fairretLinks
A fairness library in PyTorch.
☆30Updated last year
Alternatives and similar repositories for fairret
Users that are interested in fairret are comparing it to the libraries listed below
Sorting:
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆138Updated last month
- A benchmark for distribution shift in tabular data☆55Updated last year
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆248Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆158Updated 3 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆248Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆66Updated this week
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆70Updated 2 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 5 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆133Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated 2 years ago
- Resources for Machine Learning Explainability☆86Updated last year
- Datasets derived from US census data☆269Updated last year
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Generating global explanations from local ones☆11Updated 2 years ago
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆142Updated 2 weeks ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆143Updated 3 years ago
- Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".☆14Updated 3 years ago
- An amortized approach for calculating local Shapley value explanations☆100Updated last year
- Large-scale uncertainty benchmark in deep learning.☆63Updated 5 months ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 8 months ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- For calculating global feature importance using Shapley values.☆277Updated this week
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 2 years ago
- bayesian lime☆18Updated last year
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆59Updated last week
- Mutual information estimators and benchmark☆53Updated 3 weeks ago