grapesonwang
I pretended to enjoy programming, and now I do like it. But sometimes I hate it still.
Manchester Metropolitan UniversityThe United Kingdom
Pinned Repositories
adversarial-variational-bayes
A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.
anchor-diff-VOS
Anchor Diffusion for Unsupervised Video Object Segmentation
applied-ml
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
awesome-background-subtraction
A curated list of background subtraction related papers and resources
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-network-embedding
A curated list of network embedding techniques.
bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
churn_telecom
PathPlanning
Common used path planning algorithms with animations.
varsgpv_v1_pwang
Variational Inference from Michalis Titsias
grapesonwang's Repositories
grapesonwang/PathPlanning
Common used path planning algorithms with animations.
grapesonwang/Buzz
A programming language designed for robot swarms.
grapesonwang/cse515t
Materials for Bayesian Methods in Machine Learning Course
grapesonwang/event-based_vision_resources
grapesonwang/FCPP-Survey
Comparison of different full coverage path planning techniques. Older methods and newer methods are both included.
grapesonwang/full_coverage_path_planner
Full coverage path planning provides a move_base_flex plugin that can plan a path that will fully cover a given area
grapesonwang/gazebo_models
Model database
grapesonwang/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
grapesonwang/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
grapesonwang/Leetcode
🎓Leetcode solutions in Python 📚
grapesonwang/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
grapesonwang/MachineLearning_Python
机器学习算法python实现
grapesonwang/mask-rcnn-rgbd
Extended Mask R-CNN for RGB-D object instance segmentation based on Matterport's implementation. Segmentation accuracy improved by up to 31% using the additional depth input channel.
grapesonwang/move_base_flex
Move Base Flex: a backwards-compatible replacement for move_base
grapesonwang/Multi-Robot-Exploration-and-Map-Merging
grapesonwang/Multi-Robot_Exploration
This project shows the area division process in Multi-Agent exploration using Cyclic Gradient Descent and also how Cooperative Perceptional Messages are used in V2V communication to share information among agents in about the environment.
grapesonwang/myLearn
machine learning algorithm
grapesonwang/ORB-feature-matching
Python implementation of ORB feature matching algorithm from scratch. (not using openCV)
grapesonwang/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
grapesonwang/PythonRobotics
Python sample codes for robotics algorithms.
grapesonwang/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
grapesonwang/Recent_SLAM_Research
Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】
grapesonwang/robotdev
Home base for robot development
grapesonwang/roc_pr_post
Medium post: On ROC and PR curves
grapesonwang/ROS-Robotics-Projects-SecondEdition
ROS Robotics Projects, published by Packt
grapesonwang/semi_labelme
A Semi-automated Annotation Tool Integrated with Deep Learning
grapesonwang/shareOI
算法竞赛课件分享
grapesonwang/Soundscapy
A python library for soundscape assessments
grapesonwang/tracking_pid
PID controller following a moving carrot
grapesonwang/TrackR-CNN
TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)