zhangxiaohan123

zhangxiaohan123's Stars

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python37.9k9991.1k9.6k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.9k601173k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.4k1732.8k3k

• paperswithcode/ai-deadlines

  :alarm_clock: AI conference deadline countdowns

  Language:JavaScript5.6k10092961

• quark0/darts

  Differentiable architecture search for convolutional and recurrent networks

  Language:Python3.9k87167845

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k1771689

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.5k4778603

• D-X-Y/AutoDL-Projects

  Automated deep learning algorithms implemented in PyTorch.

  Language:Python1.6k44123281

• JiahuiYu/slimmable_networks

  Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

  Language:Python9072951131

• pytorch/benchmark

  TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

  Language:Python852241891275

• nnzhan/Graph-WaveNet

  graph wavenet

  Language:Python610637199

• kjunelee/MetaOptNet

  Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

  Language:Python52485697

• EPFL-LCN/neuronaldynamics-exercises

  Python exercises accompanying the book "Neuronal Dynamics"

  Language:Python2452223123

• hehefan/Unsupervised-Person-Re-identification-Clustering-and-Fine-tuning

  Language:Python219152887

• EthanZhu90/ZSL_GAN

  Code for the paper CVPR‘18 "A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts"

  Language:Python1936434

• WenbinLee/DN4

  Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.

  Language:Python190102443

• lorenmt/maxl

  The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

  Language:Python1686828

• hehefan/PointRNN

  TensorFlow implementation of PointRNN, PointGRU and PointLSTM.

  Language:Python144121120

• leowyy/GraphTSNE

  PyTorch Implementation of GraphTSNE, ICLR’19

  Language:Jupyter Notebook1335323

• hehefan/Awesome-Dynamic-Point-Cloud-Analysis

  12710110

• hehefan/Point-Spatio-Temporal-Convolution

  Implementation of the "PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences" paper.

  Language:Python9721511

• hehefan/PointRNN-PyTorch

  PointRNN, PointGRU and PointLSTM.

  Language:Python55546

• alliecc/argoverse_baselinetracker

  Baseline tracker code release for the paper Argoverse: 3D Tracking and Forecasting With Rich Maps, CVPR 2019.

  Language:Python512114

• hehefan/Recurrent-Attention-Model

  Tensorflow implementation of paper "Recurrent Models of Visual Attention"

  Language:Python511319

• hehefan/video-classification

  TensorFlow implementation for video classification.

  Language:Python42329

• hehefan/Video-Captioning

  Language:Python12134

• myyim/LPFC

  The codes were written for the following paper: Yim MY, Cai X & Wang X-J(2019) Transforming the choice outcome to an action plan in monkey lateral prefrontal cortex: a neural circuit model. Neuron 103, 1–13.

  Language:Python2001