morpheus1820

Look_Around_And_Learn

Code for the paper titled "Look Around 👀 and Learn 🎓: Self-Training Object Detection by Exploration" accepted at ECCV2024

R2RIE-CE

Official repository of "Mind the Error! Detection and Localization of Instruction Errors in Vision-and-Language Navigation". We present the first dataset - R2R-IE-CE - to benchmark instructions errors in VLN. We then propose a method, IEDL.

IVLN-CE

Official Implementation of IVLN-CE: Iterative Vision-and-Language Navigation in Continuous Environments

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

pypose

A library for differentiable robotics.

TopologicalSemanticGraphMemory

Topological Semantic Graph Memory for Image Goal Navigation (CoRL 2022 oral)

ivy

Convert Machine Learning Code Between Frameworks

Scene-Diffuser

Official implementation of CVPR23 paper "Diffusion-based Generation, Optimization, and Planning in 3D Scenes"

bt_use_cases

A set of use cases of Behavior Trees in ROS2 and C++

Gazebo-Map-Actor-Plugin

A gazebo actor plugin that utilizes the map of the environment and graph search methods to generate random actor trajectories that don't pass through walls, furniture, etc.

2D_lidar_person_detection

Person detector for 2D range data. Code release for Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera (https://arxiv.org/abs/2012.08890)

instant-DexNerf

Instant NeRF for depth/3d shape estimation of transparent objects

llm_scene_understanding

gazebo_sfm_plugin

A plugin for simulation of human pedestrians in ROS Gazebo

shortest-paths-in-graphs-of-convex-sets

iris

Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

WaveFunctionCollapse

Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

Graph-reinforcement-learning-literature

This open source library is available to summarize several years of research papers on graph reinforcement learning for the convenience of researchers

Reinforcement-learning-on-graphs-A-survey

This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.

neural_weighted_a_star

Source code for Neural Weighted A* paper's experiments.

mcl_3dl

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.

Attention-CNN-Visualization

Visualizing the filters of a traditional CNN and a CNN with an attention mechanism.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

SmartGuitarAmp

Guitar plugin made with JUCE that uses neural networks to emulate a tube amplifier.

CrowdNav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

grid_map

Universal grid map library for mobile robotic mapping

mesh_navigation

Mesh Navigation Stack

slam_toolbox

Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS

DeepDeform

[CVPR'2020] DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data

asynchronous_impala_PPO

Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation