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Name: PengGao
Type: User
Name: PengGao
Type: User
The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation
Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020, ECCVW 2020
AI Robot Challenge Lab
Anomaly detection related books, papers, videos, and toolboxes
Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
Attention based model for learning to solve different routing problems
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
A curated list of awesome computer vision resources
Drawing Bayesian networks, graphical models, tensors, and technical frameworks and illustrations in LaTeX.
A collection of useful datasets for robotics and computer vision
:sunglasses: A curated list of robotics libraries and software
:metal: awesome-semantic-segmentation
A curated list of Visual Place Recognition (VPR)/ loop closure detection (LCD) datasets
Building a Bayesian deep learning classifier
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Bayesian, Uncertainty, Neutral Networks, LSTM, time series
Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
A paper list about collaborative perception.
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
This is the final project for APMA207. The core of the project is duplication of the paper: Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning (http://proceedings.mlr.press/v80/depeweg18a/depeweg18a.pdf)
Reproduction of the paper: Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Implementation of Deep Graph Matching Consensus in PyTorch
A collection of various deep learning architectures, models, and tips
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.