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kimera-rpgo

Robust Pose Graph Optimization

kimera-vio

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

kintinuous

Real-time large scale dense visual SLAM system

kityminder

百度脑图

lantern

🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/download 🔴

larvio

A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.

lasagne

Lightweight library to build and train neural networks in Theano

lcsd_slam

ldso

DSO with SIM(3) pose graph optimization and loop closure

leaflet

:leaves: JavaScript library for mobile-friendly interactive maps

leaflet.d3svgoverlay

Leaflet Plugin: D3 SVG Overlay

leanchat-ios

用 LeanCloud 实时通信组件做的社交应用 LeanChat

learnviorb

lectures

Oxford Deep NLP 2017 course

lee-slam-source

SLAM 开发学习资源与经验分享

lehome

LEHome 是一套完整的智能家居方案

libfacedetection

A binary library for face detection in images.

librestreaming

Android real-time effect filter rtmp streaming library.using Mediacodec HWencoding&librtmp stream.

lihang-code

《统计学习方法》的代码实现

loguru

Python logging made (stupidly) simple

lsd-opencv-matlab

Line Segment Detector for OpenCV, MATLAB, and Python.

lsd_slam

LSD-SLAM

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

luminoth

Deep Learning toolkit for Computer Vision

m2slam

M2SLAM: Visual SLAM with Memory Management for large-scale Environments

macguarder

Lock & Unlock Mac by iPhone through BlueTooth

machine-learning-course

:speech_balloon: Machine Learning Course with Python

machine-learning-mini-project

machine-learning-study-path-march-2019

A complete ML study path, focused on TensorFlow and Scikit-Learn