HQ-LV

HQ-LV's Stars

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  60k2.3k1139.8k

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.2k3403383.8k

• timeseriesAI/tsai

  Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  Language:Jupyter Notebook5.1k63655635

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.3k2472421

• liyaguang/DCRNN

  Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

  Language:Python1.2k2382391

• VeritasYin/STGCN_IJCAI-18

  [IJCAI'18] Spatio-Temporal Graph Convolutional Networks

  Language:Python9761765297

• wehos/awesome-graph-transformer

  Papers about graph transformers.

  75420564

• gzerveas/mvts_transformer

  Multivariate Time Series Transformer, public version

  Language:Python742367171

• yaoyao-liu/meta-transfer-learning

  TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

  Language:Python7342261148

• guoshnBJTU/ASTGCN-2019-pytorch

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

  Language:Python55360152

• hazdzz/STGCN

  The PyTorch implementation of STGCN.

  Language:Python473622102

• zezhishao/STEP

  Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

  Language:Python32255635

• xjtushujun/meta-weight-net

  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

  Language:Python28071568

• panzheyi/ST-MetaNet

  The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

  Language:Python19471673

• lmzintgraf/cavia

  Code for "Fast Context Adaptation via Meta-Learning"

  Language:Python1376340

• kaize0409/awesome-few-shot-gnn

  An index of algorithms for few-shot learning/meta-learning on graphs

  1315015

• XDZhelheim/STAEformer

  [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".

  Language:Python11951116

• baiksung/ALFA

  Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

  Language:Python712512

• ChengtaiCao/Meta-GNN

  Language:Python572413

• huaxiuyao/MetaST

  MetaST for WWW 2019

  Language:Python512415

• YihongT/DASTNet

  Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"

  Language:Python42126

• BobZwr/Cross-Reconstruction-Transformer

  The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer".

  Language:Python39256

• yoonholee/MT-net

  Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"

  Language:Python39569

• RobinLu1209/ST-GFSL

  Language:Python38389

• bighuang624/Hung-yi-Lee-ML-notes

  :memo:《李宏毅机器学习》课程笔记（暂停更新） | Notes for Hung-yi-Lee Machine Learning Spring 2019 (Suspension)

  23103

• deepkashiwa20/MemeSTN

  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster

  Language:Python15201

• underdoc-wang/EAST-Net

  [AAAI'22] Event-Aware Multimodal Mobility Nowcasting

  Language:Python12212

• KL4805/TransGTR

  Open-source code of TransGTR.

  Language:Python10132

• yingxue-zhang/cST-ML

  The codes and data of paper "cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction"

  Language:Python9112

• ijcai2023/UNI_KD

  Language:Python310