OKVIS: Open Keyframe-based Visual-Inertial SLAM http://ethz-asl.github.io/okvis/index.html

Uncertainty-aware Receding Horizon Exploration and Mapping Planner https://github.com/unr-arl/rhem_planner

https://github.com/lrse/sptam

MCPTAM is a set of ROS nodes for running Real-time 3D Visual Simultaneous Localization and Mapping (SLAM) using Multi-Camera Clusters. It includes tools for calibrating both the intrinsic and extrinsic parameters of the individual cameras within the rigid camera rig.

https://github.com/aharmat/mcptam

visual place recognition algorithm https://github.com/arrenglover/openfabmap

https://github.com/davidmball/ratslam

https://github.com/MarianoJT88/Joint-VO-SF was published in ICRA 2017

http://wiki.ros.org/rtabmap_ros ... Many Demos are available in the website with Several ROS bags

https://github.com/strasdat/ScaViSLAM/

https://github.com/felixendres/rgbdslam_v2 ROS ready, It has PHD thesis from TUM

https://github.com/tu-darmstadt-ros-pkg/hector_slam

https://github.com/tum-vision/dvo_slam

https://github.com/danping/CoSLAM

https://github.com/mp3guy/ElasticFusion ... it has nice gui and dataset , paper and video too .

https://github.com/mp3guy/Kintinuous

Based on PTAM and SLAM track 3d traingulated and 2d non triangulated features . https://github.com/plumonito/dtslam

https://github.com/dorian3d/RGBiD-SLAM

from oxford university c++ SLAM
https://github.com/hanmekim/SceneLib2

https://github.com/ethz-asl/nbvplanner

http://www.robots.ox.ac.uk/~gk/PTAM/

https://github.com/damienfir/android-ptam

https://github.com/raulmur/ORB_SLAM ....

its modification : ORB-SLAM2 is a real-time SLAM library for Monocular, Stereo and RGB-D cameras https://github.com/raulmur/ORB_SLAM2

its modification to work on IOS : https://github.com/Thunderbolt-sx/ORB_SLAM_iOS

https://github.com/uzh-rpg/rpg_open_remode ... Probabilistic, Monocular Dense Reconstruction in Real Time

https://github.com/pizzoli/rpg_svo

no loop closure or bundle adjustment http://rpg.ifi.uzh.ch/svo2.html

https://github.com/tum-vision/lsd_slam

https://github.com/HKUST-Aerial-Robotics/VINS-Mono

https://github.com/erik-nelson/blam

https://github.com/ethz-asl/segmatch A 3D segment based loop-closure algorithm | ROS ready

Robust Visual Inertial Odometry https://github.com/ethz-asl/rovio

https://github.com/JakobEngel/dso

https://github.com/alejocb/dpptam Dense Piecewise Planar Tracking and Mapping from a Monocular Sequence IROS 2015

IMU camera calibration toolbox and more. https://github.com/ethz-asl/kalibr

Camera-to-IMU calibration toolbox https://github.com/hovren/crisp

https://github.com/TheFrenchLeaf/Bundle

https://github.com/danylaksono/Android-SfM-client

open geometrical vision https://github.com/marknabil/opengv

Structure from Motion library written in Python on top of OpenCV. It has dockerfile for all installation on ubuntu 14.04 https://github.com/mapillary/OpenSfM

An unsupervised learning framework for depth and ego-motion estimation from monocular videos https://github.com/tinghuiz/SfMLearner

https://github.com/mleotta/cvpr2015-opensfm

https://github.com/vrabaud/sfm_toolbox

concept in matlab http://vis.uky.edu/~stewe/FIVEPOINT/

Lorenzo Torresani's Structure from Motion Matlab code https://github.com/scivision/em-sfm

OpenMVG C++ library https://github.com/openMVG/openMVG

collection of computer vision methods for solving geometric vision problems https://github.com/laurentkneip/opengv

Multiview Geometry Library in C++11 http://theia-sfm.org/

#####Volumetric 3D Mapping in Real-Time on a CPU https://github.com/tum-vision/fastfusion

https://github.com/knagara/SLAMwithCameraIMUforAndroid

https://github.com/HKUST-Aerial-Robotics/VINS-Mobile

with some good documentation to how to read the image and so on from the kinect . https://github.com/AutoSLAM/SLAM

http://projects.asl.ethz.ch/datasets/doku.php?id=kmavvisualinertialdatasets

visual-inertial datasets collected on-board a Micro Aerial Vehicle (MAV). The datasets contain stereo images, synchronized IMU measurements, and accurate motion and structure ground-truth.

https://www.doc.ic.ac.uk/~ahanda/VaFRIC/iclnuim.html benchmarking RGB-D, Visual Odometry and SLAM algorithms

https://github.com/tum-vision

https://github.com/uzh-rpg

http://studierstube.icg.tugraz.at/handheld_ar/cityofsights.php

for SFM, 3D reconstruction and V-SLAM https://github.com/openMVG/awesome_3DReconstruction_list