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action2sound

Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos

actionrecognition

Explore Action Recognition

actionrecognition-1

Simple action recognition model for starters

airsim

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

awesome-embodied-vision

Reading list for research topics in embodied vision

awesome-vln

A curated list of research papers in Vision-Language Navigation (VLN)

berkeley-deep-rl-homework

Assignments for CS294-112.

cadrl

Implementation of paper "Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning". NO LONGER MAINTAINED. CHECK OUT CrowdNav.

constraintawarecompression

[ECCV18] Constraint-Aware Deep Neural Network Compression

cs

3D FPS game

cs380d-proj2

Implementation of two-phase commit protocol for course CS380D

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

diff-foley

Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models

epic-kitchens-100-narrator

Video narrator written in Python/GTK using vlc-lib

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

forest

Forest rendering with three.js

habitat-api

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

habitat-challenge

Code for the habitat challenge

habitat-sim

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

hifigan-denoiser

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

imagequilting

The goal of this assignment is to implement the image quilting algorithm for texture synthesis and transfer, described in this SIGGRAPH 2001 paper by Efros and Freeman. Texture synthesis is the creation of a larger texture image from a small sample. Texture transfer is giving an object the appearance of having the same texture as a sample while preserving its basic shape (see the face on toast image above). For texture synthesis, the main idea is to sample patches and lay them down in overlapping patterns, such that the overlapping regions are similar. The overlapping regions may not match exactly, which will result in noticeable edges. To fix this, you will compute a path along pixels with similar intensities through the overlapping region and use it to select which overlapping patch from which to draw each pixel. Texture transfer is achieved by encouraging sampled patches to have similar appearance to a given target image, as well as matching overlapping regions of already sampled patches. In this project, you will apply important techniques such as template matching, finding seams, and masking. These techniques are also useful for image stitching, image completion, image retargeting, and blending.

json2html-parser

Convert Json files to formatted and colorized HTML files

learning-to-learn-sparsity

Use a meta-network to learn the importance and correlation of neural network weights

leetcode

linux_config

Configure bash and vim environment in one line

microblog

minisql

multiagentrgl

Relational Graph Learning for Multiagent Navigation

my-shell

CMPT300 Operating System@SFU Assignment01Part2: my_shell

my_shell