Fuqiang Gu's Projects
An open source platform for visual-inertial navigation research.
A hyperparameter optimization framework
Latex code for making neural networks diagrams
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PyTorch implementation of Pointnet2/Pointnet++
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
PRML algorithms implemented in Python
Phased LSTM
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Pytorch implementation of convolutional neural network visualization techniques
PyTorch Boilerplate For Research
Implementation of https://arxiv.org/abs/1904.00962
Unofficial PyTorch Reimplementation of RandAugment.
An open source framework for seq2seq models in PyTorch.
PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
Geometric Deep Learning Extension Library for PyTorch
Neural Machine Translation with Attention (PyTorch)
Disentangled Variational AutoEncoder with PyTorch
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)
Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).
Code for the paper "EKLT: Asynchronous, Photometric Feature Tracking using Events and Frames" (IJCV'19)
Code for the paper "EMVS: Event-based Multi-View Stereo" (IJCV, 2018)
Repo for learning event representations
Differentiable Point Cloud Sampling (To appear in CVPR 2020 as an oral presentation)
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Siamese and triplet networks with online pair/triplet mining in PyTorch