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3d-deep-learning

3D Deep Learning works

alicevision

Photogrammetric Computer Vision Framework

alphatree-graphic-deep-neural-network

机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

ccny-orb-slam2

Map saving and reloading, point cloud mapping

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convnetdraw

Draw multi-layer neural network in your browser

cv

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

draw_convnet

ds-slam

dso

Direct Sparse Odometry

dvo_slam

Dense Visual Odometry and SLAM

dynaslam

基于ORB-SLAM2修改 动态环境建模 dynamic environments for monocular, stereo and RGB-D setups

enft-sfm

This source code provides a reference implementation for ENFT-SfM.

evo

Python package for the evaluation of odometry and SLAM

graphsfm

Robust and Efficient Graph-based Structure from Motion

histogram_equalization

Some histogram equalization methods to enhance image contrast, including AHE and CLAHE.

icra-2019-slam-paper-list

ICRA 2019 SLAM paper list

image-processing-algorithm

paper implement

imu_utils

iros2018-slam-papers

IROS2018 SLAM papers (ref from PaoPaoRobot)

kalibr

The Kalibr visual-inertial calibration toolbox

kalibr_allan

IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.

kimera-semantics

Real-Time 3D Semantic Reconstruction from 2D data

kitti2bag

Convert KITTI dataset to ROS bag file the easy way!

learning-to-see-in-the-dark

Learning to See in the Dark. CVPR 2018

learnviorb

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera

lsd_slam

LSD-SLAM

mathematics

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波

ml_gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.