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machine_learning_examples

A collection of machine learning examples and tutorials.

markerless_motion_capture_for_russ

paper implementation for Precise Repositioning of Robotic Ultrasound: Improving Registration-based Motion Compensation using Ultrasound Confidence Optimization

mobilenet_paper_implementation

The MobileNet paper implemented for Malaria detection.

modernrobotics

Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.

modernroboticscpp

Cpp version of the Modern robotics library

nehildanis.github.io

Build a Jekyll blog in minutes, without touching the command line.

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

pcl

Point Cloud Library (PCL)

plane_segmentation

Segmenting the planar structures from pointcloud

point_cloud_examples

pointnet-pytorch

A re-implementation of the PointNet network in PyTorch

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

pointnet2_pytorch

PyTorch implementation of Pointnet2/Pointnet++

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch and test on ModelNet, ShapeNet and S3DIS.

pointrcnn

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

pytorch_semantic_segmentation

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

quickstart

Angular 2 QuickStart - source from the documentation

restaurant_sentiment_analysis

ros2-tensorflow

ROS2 nodes for computer vision tasks in Tensorflow

rustexercises

Exercises from Rust Tutorials

rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

self-correction-human-parsing

An out-of-box human parsing representation extractor.

sfnd_lidar_obstacle_detection

shape-matching

Implementation of shape matching algorithms for 3d models.

shape_registration

Shape registration between MRI data and the rgbd data from Azure Kinect

spoon-knife

This repo is for demonstration purposes only.

tensorflow2_exercises

torch3d

Datasets, networks and transformations for 3D deep learning in PyTorch

tracking_arm

Implements the tracking of an arm during ultrasound scanning, using the Azure Kinect Depth Sensor