fuqianggu
I am a researcher at the National University of Singapore. Working mobile sensing, activity recognition, machine learning, and robots
National University of SingaporeSingapore
Pinned Repositories
3d-DenseNet
3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
Activity-recognition
Activity recognition using mobile/wearable devices such as smartphones.
adversarial-autoencoder
Chainer implementation of adversarial autoencoder (AAE)
AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
arctic-capgen-vid
automatic video description generation with GPU training
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
EventDrop
GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
keras-autoencoders
Autoencoders in Keras
Pointnet2_PyTorch
PyTorch implementation of Pointnet2/Pointnet++
fuqianggu's Repositories
fuqianggu/pytorch-randaugment
Unofficial PyTorch Reimplementation of RandAugment.
fuqianggu/backpack
BACKpropagation PACKage - A backpack for PyTorch that extends the backward pass of feedforward networks to compute quantities beyond the gradient
fuqianggu/docs
TensorFlow documentation
fuqianggu/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
fuqianggu/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
fuqianggu/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
fuqianggu/rpg_event_representation_learning
Repo for learning event representations
fuqianggu/pytorch-goodies
PyTorch Boilerplate For Research
fuqianggu/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
fuqianggu/ig65m-pytorch
PyTorch 3D video classification models pre-trained on 65 million Instagram videos
fuqianggu/EV-FlowNet
Code for the paper "EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras"
fuqianggu/event_feature_tracking
This repo contains MATLAB implementations of the event-based feature tracking methods described in "Event-based Feature Tracking with Probabilistic Data Association" and "Event-based Visual Inertial Odometry".
fuqianggu/vision
Datasets, Transforms and Models specific to Computer Vision
fuqianggu/arctic-capgen-vid
automatic video description generation with GPU training
fuqianggu/event-based_vision_resources
fuqianggu/MeshCNN
Convolutional Neural Network for 3D meshes in PyTorch
fuqianggu/python-neo
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
fuqianggu/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
fuqianggu/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
fuqianggu/slayerPytorch
PyTorch implementation of SLAYER for training Spiking Neural Networks
fuqianggu/VMZ
VMZ: Model Zoo for Video Modeling
fuqianggu/rpg_eklt
Code for the paper "EKLT: Asynchronous, Photometric Feature Tracking using Events and Frames" (IJCV'19)
fuqianggu/kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset.
fuqianggu/Wifi_Activity_Recognition
Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)
fuqianggu/iets
Inceptive Event Time Surfaces (ICIAR 2019)
fuqianggu/dcll
fuqianggu/neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
fuqianggu/gqcnn
Python module for GQ-CNN training and deployment with ROS integration.
fuqianggu/Transformer
Transformer seq2seq model, program that can build a language translator from parallel corpus
fuqianggu/pytorch-seq2seq
An open source framework for seq2seq models in PyTorch.