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probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

project4-cuda-icp

CUDA based Iterative Closest Point Algorithm Implementation

pwcforeveryone

py14

Python to C++ 14 transpiler

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

pythonextensionpatterns

Examples of safe coding practice for Python C extensions.

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

rankpl

A qualitative probabilistic programming language based on ranking theory

ransac-2d-shape-detection

line, circle and ellipse detection in 2d images.

raspi-live

📷 Stream live video from the Raspberry Pi Camera Module to the web using HLS or DASH

raster-deep-learning

ArcGIS built-in python raster functions for deep learning to get you started fast.

rebvo

Realtime Edge Based Visual Odometry for a Monocular Camera

recent_slam_research

Track Advancement of SLAM 跟踪SLAM前沿动态【ICRA2019已更】

refusion

ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals

remittance-calibration

Unofficial implementation of LiDAR remittance calibration from Jesse Levinson and Sebastian Thun

rfcs

RFCs for changes to Google Cartographer projects

riot

RIOT - The friendly OS for IoT

road-boundary-edge-curb-detection

robotics

Probabilistic state estimation for robotics applications. Bayes filters include Kalman, Markov chains; Gaussian, uniform and discrete mapping probability distributions representations; Distribution sampling, marginalization, multiplication; Distribution composition independent pairs and Bayes rule; Linear algebra, matrix, vector, inverse, square root, LU decomposition, Cholesky decomposition; piecewise linear approximation of functions; Sensor models, Markov action chains <X,U,X>.

rocket-lander

SpaceX Falcon 9 Box2D continuous-action simulation with traditional and AI controllers.

ros_note

ROS Learning Notes

ros_tutorials

Code used in tutorials found on ROS wiki

rosbag_editor

Create a rosbag from a given one, using a simple GUI

rtcnet

RTCnet is a radar based, single-frame, multi-class detection method for moving road users (pedestrian, cyclist, car), which utilizes low-level radar cube data.

run_based_segmentation

An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...

rviz_satellite

Display internet satellite imagery in RViz

salientsupervoxel

Implementation for Saliency-guided Adaptive Seeding for Supervoxel Segmentation

scancontext

Global LiDAR descriptor for place recognition and long-term localization

sdc-vehicle-lane-detection

I am using an ensemble of classic computer vision and modern deep learning techniques, to detect the lane lines and the vehicles on a highway. This project was part of the Udacity SDC Nanodegree.