muchensun Goto Github PK

active_graph_slam

another_gp_tutorial

A(nother) tutorial about Gaussian process regression

anpl_mrbsp

blog

:art: A ridiculously elegant Jekyll theme.

byterun

A Python implementation of a Python bytecode runner

c-programming-language-terminal-project

cloud-lab

Docker based Cloud Lab Center, with noVNC and Gateone attachable LXDE Desktop and SSH Terminal.

cpl-slam

Planar Graph-Based SLAM Using the Complex Number Representation

cpp-learning

some code from my process of learning C++ :p

cpp_weekly_homework

cpp_weekly_work

大家随意看，欢迎提交一个Issue一起讨论

cv

diffcloud_real2sim

distributed-mapper

This library is an implementation of the algorithm described in Distributed Trajectory Estimation with Privacy and Communication Constraints: a Two-Stage Distributed Gauss-Seidel Approach.

dslab-python-course-notes

Course notes for the Python course introduced by Prof. Nicholas at DSLAB

dtam

implementation for DTAM: Dense Tracking and mapping in Real-Time by RA Newcombe

ergodic_isac_exploration

C++ code implementing ergodic iSAC: an ergodic control algorithm that uses complex agent dynamics to explore a varying probability-of-detection distribution in real time.

ewap_tools

Processing tool for ETH pedestrian dataset

fim_tests

fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

g2opy

Python binding of SLAM graph optimization framework g2o

gitlearn

gmmreg-python

Python implementation of "Robust Point Set Registration Using Gaussian Mixture Models" by Jian & Vemuri, PAMI'11

go-icp

Implementation of the Go-ICP algorithm for globally optimal 3D pointset registration

gpmp2

Gaussian Process Motion Planner 2

graph_slam_visualizer

pose graph visualization package for rviz

gtsam

gtsam branch for compiling "https://github.com/CogRob/distributed-mapper"

huxblog-boilerplate

Boilerplate of Hux Blog

isam_fun

isindy

implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.ieee.org/abstract/document/7809160/