grapesonwang Goto Github PK
Name: Peng Wang
Type: User
Company: Manchester Metropolitan University
Bio: I pretended to enjoy programming, and now I do like it. But sometimes I hate it still.
Location: The United Kingdom
Name: Peng Wang
Type: User
Company: Manchester Metropolitan University
Bio: I pretended to enjoy programming, and now I do like it. But sometimes I hate it still.
Location: The United Kingdom
Gaussian processes framework in python
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Demo for the part 1 of the tutorial on pychain
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Peng Wang's personal website.
Library to implement graph neural networks in PyTorch
Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers
Uses Tensorflow Object Detection API to detect and track hands as well as estimate their distance from the camera
Code for Heaton et al (in JABES, 2018)
IEPF (Iterative End Point Fit) Line Extraction
Lab Materials for MIT 6.S191: Introduction to Deep Learning
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.
Tools for using the Kinect One/v2 in ROS
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
A ROS packages that extracts line segments from LaserScan messages.
SLAM using 2D lidar
Learning to See in the Dark. CVPR 2018
🎓Leetcode solutions in Python 📚
贵校课程资料民间整理
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019
A comprehensive collection of recent papers on graph deep learning
Laser Odometry and Mapping (continuous spin version)
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Python code of the paper "Learning Wheel Odometry and IMU Errors for Localization"
Machine learning online course from Andrew Ng.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.