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practice-for-c-

primer

Source code of C++ Primer 4th ed

prml

PRML algorithms implemented in Python

prmlt

Matlab code for machine learning algorithms in book PRML

processing_ccd_ik

A Processing program which uses the Cyclic Coordinate Descent algorithm to calculate Inverse Kinematics for a bone structure

programming_guidelines

This repository contains style-guides, discussions, eclipse/emacs auto-formatter for commonly used programming languages

pysheeet

Python Cheat Sheet

python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

random

Boost.org random module

rbf

Python package containing the tools necessary for radial basis function (RBF) applications

realsense

Intel(R) RealSense(TM) ROS packages

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

rgbd-slam-tutor2

The second version of RGBD SLAM tutorial. We will discuss more about pnp, tracking, multi-thread and loop closure methods. Please refer to my blog for details: www.cnblogs.com/gaoxiang12 .

rgbd-slam-tutorial-gx

code for the rgbd-slam tutorial written in cnblogs

samf

samf code

segment

Fast segmentation of object from background given approximate object bounding box

sfm-toy-library

A toy library for Structure from Motion using OpenCV

simple-opengl-image-library

Simple image uploader primarily for OpenGL

slam

some notes related to SLAM learning

soil

Simple OpenGL Image Library

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

srba

C++ framework for relative SLAM: Sparser Relative Bundle Adjustment (SRBA)

ssba

Sparse Levenberg-Marquardt based non-linear least squares optimizer and bundle adjustment implementation

ssba-1

SSBA-V3.0 library

ssvn

A stochastic Stein variational Newton method

statorial

Tutorials for implementing statistical algorithms

stereo

Estimate a depth map from two or more images

stereo_lsu

stn.pytorch

pytorch version of spatial transformer networks

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs