Public website for Chandar Lab

Papers on fairness in NLP

This is a collection of papers and other resources related to fairness.

A curated list of awesome Fairness in AI resources

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

Modularized Implementation of Deep RL Algorithms in PyTorch

Adaptive LSTM from Breaking the Activation Function Bottleneck Through Adaptive Parameterization (https://arxiv.org/abs/1805.08574)

Tensorflow Faster RCNN for Object Detection

Public accompanying repository for Universite de Montreal's IFT 6757: Autnonomous Vehicles, Fall 2019.

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

This is a template repository for building a new package in ROS on top of everything that already exists in the repository dt-core (which in turn includes everything that exists in dt-ros-commons)

Code for our WACV paper "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images"

Latex template for the MIDL Conference

mlpack: a scalable C++ machine learning library --

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.