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gpy

Gaussian processes framework in python

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

gradient-descent

Demo for the part 1 of the tutorial on pychain

gradient-free-optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

grapesonwang.github.io

Peng Wang's personal website.

graph-neural-networks

Library to implement graph neural networks in PyTorch

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

hand-detection-and-distance-estimation

Uses Tensorflow Object Detection API to detect and track hands as well as estimate their distance from the camera

heatoncomparison

Code for Heaton et al (in JABES, 2018)

houghtransformation

hu3sky.github.io

iepf-line-extraction

IEPF (Iterative End Point Fit) Line Extraction

igarss2020_code

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kinect2-ros

Tools for using the Kinect One/v2 in ROS

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

laser_line_extraction

A ROS packages that extracts line segments from LaserScan messages.

laserslam

SLAM using 2D lidar

learning-materials

learning-to-see-in-the-dark

Learning to See in the Dark. CVPR 2018

leetcode

🎓Leetcode solutions in Python 📚

libpku

贵校课程资料民间整理

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

lidar-segementation

An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019

literaturedl4graph

A comprehensive collection of recent papers on graph deep learning

loam_continuous

Laser Odometry and Mapping (continuous spin version)

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

lwoi

Python code of the paper "Learning Wheel Odometry and IMU Errors for Localization"

machine-learning-andrew-ng

Machine learning online course from Andrew Ng.