ecreager

eiil

Code for Environment Inference for Invariant Learning (ICML 2021 Paper)

causal-dyna-fair

Code for ICML 2020 paper Causal Modeling for Fairness In Dynamical Systems

ammi-fairness-and-privacy

AMMI Course on Fairness and Privacy in Machine Learning

csc2541-f19

CSC 2541F: AI and Ethics: Mathematical Foundations and Algorithms Fall, 2019

vibntf

Vibrato NTF: source separation by NMF plus frequency modulation cues; http://arxiv.org/abs/1606.00037

Adult-Confounded

Semi-synthetic variant of UCI-Adult dataset

beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

bibtex

The files in this repository determine the list of publications that appear on the Vector Institute website.

delayedimpact

Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

ece699s24

ecreager.github.io

FaderNetworks

Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017

GerryFair

library for fair auditing and learning of classifiers with respect to rich subgroup fairness.

InvariantRiskMinimization

PyTorch code to run synthetic experiments.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jupyter_interactive

run a jupyter notebook in interactive-partition job

learning-to-reweight-examples

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

ml-fairness-gym

models

Models and examples built with TensorFlow

mrl

pocket

hacking on music ~ just for fun

pytorch-glow

Pytorch Implementation of OpenAI's GLOW

recsim

A Configurable Recommender Systems Simulation Platform

submodule-test

tensorboard-aggregator

Aggregate multiple tensorboard runs to new summary or csv files

tfjs-examples

Examples built with TensorFlow.js

vector-bibtex

vision

Datasets, Transforms and Models specific to Computer Vision

whynot

A Python sandbox for decision making in dynamics