MagicXY

MagicXY's Stars

• SmartData-Polito/GCNH

  Implementation of GCNH, a GNN for heterophilous graphs described in the paper "GCNH: A Simple Method For Representation Learning On Heterophilous Graphs", IJCNN 2023

  Language:Python101

• GitEventhandler/H2GCN-PyTorch

  A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs".

  Language:Python339

• GemsLab/H2GCN

  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

  Language:Python10016

• xiangwang1223/neural_graph_collaborative_filtering

  Neural Graph Collaborative Filtering, SIGIR2019

  Language:Python812269

• gusye1234/LightGCN-PyTorch

  The PyTorch implementation of LightGCN

  Language:Python895238

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.7k3.7k

• decisionintelligence/pathformer

  Language:Python16218

• thuml/iTransformer

  Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

  Language:Python1.4k230

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.3k1.4k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.6k1.2k

• BigBrotherTrade/trader

  交易模块

  Language:Python4.4k952

• zbezj/HEU_KMS_Activator

  30.9k3.2k

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python7.6k1.2k

• thuml/Anomaly-Transformer

  About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

  Language:Python780207

• rob-med/awesome-TS-anomaly-detection

  List of tools & datasets for anomaly detection on time-series data.

  3k454

• GuansongPang/ADRepository-Anomaly-detection-datasets

  ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

  37959

• DAMO-DI-ML/KDD2023-DCdetector

  Language:Python20322

• Navidfoumani/ConvTran

  This is a PyTorch implementation of ConvTran

  Language:Python1368

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.2k879

• awerdich/physionet

  A convolutional neural network to detect atrial fibrillation from a single-lead ECG

  Language:Jupyter Notebook11141

• mims-harvard/Raincoat

  Domain Adaptation for Time Series Under Feature and Label Shifts

  Language:Jupyter Notebook11111

• Thinklab-SJTU/Crossformer

  Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

  Language:Python50189

• yuqinie98/PatchTST

  An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

  Language:Python1.7k291

• qingsongedu/awesome-AI-for-time-series-papers

  A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

  1.3k126

• openai/gpt-3

  GPT-3: Language Models are Few-Shot Learners

  15.7k2.3k

• laszukdawid/PyEMD

  Python implementation of Empirical Mode Decompoisition (EMD) method

  Language:Python894225

• salesforce/CoST

  PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)

  Language:Python22043

• thuml/Nonstationary_Transformers

  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

  Language:Python48483

• ant-research/Pyraformer

  Language:Python27043

• alteryx/featuretools

  An open source python library for automated feature engineering

  Language:Python7.3k883