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Name: PengGao
Type: User
Name: PengGao
Type: User
Simple Online Realtime Tracking with a Deep Association Metric
Deep networks for Earth Observation
This repo provides a collision avoidance approach for the DJI-Tello using PyDNet.
Implementation of the paper 'Deep Learning of Graph Matching', CVPR 2018.
Code and dataset for ICRA2023 paper "Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception"
Dropout as Regularization and Bayesian Approximation
Extensible Combinatorial Optimization Learning Environments
Vehicle State Estimation using Error-State Extended Kalman Filter
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.
Pytorch implementation of the paper "Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points", F. Baradel, C. Wolf, J. Mille , G.W. Taylor, CVPR 2018
Must-read papers on graph neural networks (GNN)
Code of the paper "Game theoretic hypergraph matching for multi-source image correspondences". [论文代码] 超图匹配和多源图像特征点匹配。
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
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.
Extended Kalman filter for training neural-networks
Level-Based Foraging (LBF): A multi-agent reinforcement learning environment
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
Uncertainty in Medical Image Analysis
Graph neural network (GNN) for molecular property prediction (3D structure)
CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation
[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing
A Monte Carlo or Particle Filter approach for robot localization.
Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
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.