Alternatives and similar repositories for delayedimpact

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

• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• grazianomita / machine_learning_interpretability_papers
  This is a public collection of papers related to machine learning model interpretability.
  ☆26Updated 3 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 4 years ago
• jtcho / FairMachineLearning
  Implementation of provably Rawlsian fair ML algorithms for contextual bandits.
  ☆14Updated 8 years ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆159Updated 2 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆67Updated 6 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆117Updated 4 years ago
• nikikilbertus / blind-justice
  Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018
  ☆14Updated 6 years ago
• SinaMohseni / ML-Interpretability-Evaluation-Benchmark
  This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data
  ☆29Updated 4 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆35Updated 3 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 6 years ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆103Updated 5 years ago
• sanghack81 / SCMMAB-NIPS2018
  Structural Causal Bandit
  ☆25Updated 3 years ago
• fair-preprocessing / nips2017
  ☆26Updated 7 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 5 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 6 years ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 5 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• algofairness / runaway-feedback-loops-src
  Accompanying source code for "Runaway Feedback Loops in Predictive Policing"
  ☆17Updated 7 years ago
• charliemarx / pmtools
  ☆9Updated 4 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• marcotcr / anchor-experiments
  Experiments for AAAI anchor paper
  ☆63Updated 7 years ago
• arunvenk / DaD
  Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. …
  ☆33Updated 8 years ago
• google / ml-fairness-gym
  ☆315Updated 2 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• yaringal / acquisition_example
  Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function
  ☆16Updated 7 years ago
• fairmlbook / fairmlbook.github.io
  ☆32Updated last year
• Networks-Learning / tpprl
  Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018
  ☆79Updated 6 years ago