A curated list of different papers and datasets in various areas of audio-visual processing

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Reading list for research topics in embodied vision

This repository contains code for our publication "Occupancy Anticipation for Efficient Exploration and Navigation" in ECCV 2020.

Starter code for SoundSpaces challenge at CVPR 21's Embodied AI workshop

Simple, locally-running web app for generating depth maps using machine learning.

An introduction to programming language theory in Agda

A first-of-its-kind acoustic simulation platform for audio-visual embodied AI research. It supports training and evaluating multiple tasks and applications.

A flexible source separation library in Python

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

A flexible, high-performance 3D simulator for Embodied AI research.

Workflow-Guided Exploration: sample-efficient RL agent for web tasks

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

Re-implementation of BiDAF(Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo et al., ICLR 2017) on PyTorch.

MiniWoB++: a web interaction benchmark for reinforcement learning

Interactive machine learning algorithm visualisation using Python Jupyter notebooks

PyTorch implementation of our paper "Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures"

Library for Meta-Recognition and Weibull based calibration of SVM data.