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/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
fuqianggu/C3D
C3D is a modified version of BVLC caffe to support 3D ConvNets.
fuqianggu/triplet-network-pytorch
fuqianggu/pytorch-lamb
Implementation of https://arxiv.org/abs/1904.00962
fuqianggu/hand_gestures_cc19
fuqianggu/CSI-Net
pytorch code of CSI-Net, including data and pre-trained models
fuqianggu/AttentionConvLSTM
"Attention in Convolutional LSTM for Gesture Recognition" in NIPS 2018
fuqianggu/cs231n.github.io
Public facing notes page
fuqianggu/TactileLearning
A Website for our work on Tactile Learning
fuqianggu/BVAE-tf
Disentangled Variational Auto-Encoder in TensorFlow / Keras (Beta-VAE)
fuqianggu/rpg_emvs
Code for the paper "EMVS: Event-based Multi-View Stereo" (IJCV, 2018)
fuqianggu/tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists
fuqianggu/keras
Deep Learning for humans
fuqianggu/biotacsp-stability-set-v2
fuqianggu/lstm-attention
Attention-based bidirectional LSTM for Classification Task (ICASSP 2018)
fuqianggu/PYTORCH_VAE
Disentangled Variational AutoEncoder with PyTorch
fuqianggu/tactile-gcn
fuqianggu/REDNet-pytorch
PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)
fuqianggu/c3d-pytorch
Pytorch porting of C3D network, with Sports1M weights
fuqianggu/torch-multi-head-attention
Multi-head attention in PyTorch
fuqianggu/pytorch-video-recognition
PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
fuqianggu/keras-attention-mechanism
Attention mechanism Implementation for Keras.
fuqianggu/BP-for-SpikingNN
Spatio-temporal BP for SNNs
fuqianggu/Disentangled-Sequential-Autoencoder
Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).
fuqianggu/mm-bp-snn
fuqianggu/MadgwickAHRS
Arduino implementation of the MadgwickAHRS algorithm
fuqianggu/Beta-VAE
Pytorch implementation of β-VAE
fuqianggu/3d-DenseNet
3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
fuqianggu/Datasets
fuqianggu/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)