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amodal-detection-pytorch

a repository used to detect indoor objects with 3D bounding box

automatictrackingmodulethesis

Content of master's thesis - Visual Tracking for Mobile Robotics

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

caffe

Caffe: a fast open framework for deep learning.

convexhull

Graham扫描法寻找凸包/Graham's scan for Convex Hull

deep-reinforcement-learning-papers

A list of papers and resources dedicated to deep reinforcement learning

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

deeprlhacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

edges

Structured Edge Detection Toolbox

hulksmashthor

THOR Challenge for the CVPR 2017 Workshop on Visual Understanding Across Modalities

icra2017-visual-navigation

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

make_dataset

matterport3dsimulator

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

models

Models and examples built with TensorFlow

mxnet-ssd

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

pedestrian_detector_torch

Pedestrian detector in torch7

rbx1

ROS By Example Volume 1

rcnn

R-CNN: Regions with Convolutional Neural Network Features

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

ros-semantic-mapper

Place Categorization and Semantic Mapping on a Mobile Robot

rrt_exploration

A ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.

tensorflow-reinforce

Implementations of Reinforcement Learning Models in Tensorflow

tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection

visualtrackingalgorithms

High performance visual tracking engines for use in mobile robotics