gaopeng5 Goto Github PK

2018aicity_teamuw

The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation

ab3dmot

Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020, ECCVW 2020

ai-robot-challenge-lab

AI Robot Challenge Lab

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

assistive-gym

Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.

astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

attention-learn-to-route

Attention based model for learning to solve different routing problems

attentive-neural-processes

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-latex-drawing

Drawing Bayesian networks, graphical models, tensors, and technical frameworks and illustrations in LaTeX.

awesome-robotics-datasets

A collection of useful datasets for robotics and computer vision

awesome-robotics-libraries

:sunglasses: A curated list of robotics libraries and software

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome_visual_place_recognition_datasets

A curated list of Visual Place Recognition (VPR)/ loop closure detection (LCD) datasets

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesian_uncertainty_lstm

Bayesian, Uncertainty, Neutral Networks, LSTM, time series

bayesianrnn

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

bgcn

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

car-behavioral-cloning-with-pytorch

collaborativeperception_paper

A paper list about collaborative perception.

coped

cross_view_slam

cylinder3d

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

decomposition-of-uncertainty

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)

deep-ensembles

Reproduction of the paper: Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

deep-graph-matching-consensus

Implementation of Deep Graph Matching Consensus in PyTorch

deeplearning-models

A collection of various deep learning architectures, models, and tips