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3d-machine-learning

A resource repository for 3D machine learning

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

caffe-posenet

Implementation of PoseNet

chilitags

Robust Fiducial Markers for Augmented Reality And Robotics

cs231n.github.io

Public facing notes page

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dslam_open

Public code for "Data-Efficient Decentralized Visual SLAM"

dso

Direct Sparse Odometry

eos

A lightweight 3D Morphable Face Model fitting library in modern C++14

facenet

Face recognition using Tensorflow

facial_details_synthesis

Photo-Realistic Facial Details Synthesis from Single Image (ICCV2019 Oral)

handeye_calib_camodocal

Easy to use and accurate hand eye calibration which has been working reliably for years with kinect, kinectv2, rgbd cameras, optical trackers, and several robots.

ice-ba

interview_python

关于Python的面试题

iros2018-slam-papers

IROS2018 SLAM papers (ref from PaoPaoRobot)

keras-gan

Keras implementations of Generative Adversarial Networks.

kintinuous

Real-time large scale dense visual SLAM system

landmark2019-1st-and-3rd-place-solution

The 1st Place Solution of the Google Landmark 2019 Retrieval Challenge and the 3rd Place Solution of the Recognition Challenge.

learnviorb

linyuanthocr.github.io

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

models

Models and examples built with TensorFlow

mola

A Modular Optimization framework for Localization and mApping (MOLA)

mp2p_icp

Multi primitive-to-primitive (MP2P) ICP algorithms in C++

mvision

机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉