Alternatives and similar repositories for MILLI

Users that are interested in MILLI are comparing it to the libraries listed below

• tomogwen / fpdcluster
  Code for the paper "Fuzzy c-Means Clustering for Persistence Diagrams"
  ☆14Updated last year
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆30Updated 3 years ago
• JonathanCrabbe / Label-Free-XAI
  This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For m…
  ☆23Updated 2 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆55Updated 2 years ago
• clinicalml / learn-to-defer
  Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)
  ☆13Updated 2 years ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆50Updated 2 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆41Updated 2 years ago
• dmilios / dirichletGPC
  ☆17Updated 6 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆34Updated last year
• HazyResearch / hidden-stratification
  Combating hidden stratification with GEORGE
  ☆63Updated 4 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆53Updated last year
• ema-marconato / glancenet
  Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models
  ☆25Updated last year
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated 10 months ago
• QingyuZhao / BR-Net
  ☆46Updated 4 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated last year
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• Yu-Group / clinical-rule-vetting
  Learning clinical-decision rules with interpretable models.
  ☆20Updated last year
• mateoespinosa / cem
  Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…
  ☆63Updated last month
• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆19Updated 2 years ago
• rgklab / detectron
  Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"
  ☆12Updated last year
• YilunZhou / feature-attribution-evaluation
  Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"
  ☆20Updated 3 years ago
• hrlblab / SimTriplet
  SimTriplet: PyTorch Implementation
  ☆27Updated 4 years ago
• gregdeon / spotlight
  Implementation of the spotlight: a method for discovering systematic errors in deep learning models
  ☆11Updated 3 years ago
• paidamoyo / adversarial_time_to_event
  ICML 2018: "Adversarial Time-to-Event Modeling"
  ☆37Updated 7 years ago
• UMBCvision / Explainable-Models-with-Consistent-Interpretations
  Official repository for the AAAI-21 paper 'Explainable Models with Consistent Interpretations'
  ☆18Updated 3 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 4 years ago
• js-d / sim_metric
  ☆35Updated last year
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated last year
• YilunZhou / optimal-active-learning
  Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"
  ☆15Updated 4 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated last month