ZhuoLinLi-shu

ZhuoLinLi-shu's Stars

• izackwu/TeachYourselfCS-CN

  TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS

  19.8k403193.2k

• cornellius-gp/gpytorch

  A highly efficient implementation of Gaussian Processes in PyTorch

  Language:Python3.6k581.3k562

• apple/ml-cvnets

  CVNets: A library for training computer vision networks

  Language:Python1.8k3395231

• 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.

  1.2k533120

• liyaguang/DCRNN

  Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

  Language:Python1.2k2383400

• graphdeeplearning/graphtransformer

  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  Language:Python8921626135

• lixus7/Time-Series-Works-Conferences

  Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

  81323989

• QData/spacetimeformer

  Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

  Language:Jupyter Notebook8062180192

• zhihanyue/ts2vec

  A universal time series representation learning framework

  Language:Python620642149

• M-Nauta/TCDF

  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

  Language:Jupyter Notebook4801415106

• gasteigerjo/ppnp

  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

  Language:Jupyter Notebook320101754

• thuml/Flowformer

  About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf

  Language:Python30581029

• cmsflash/efficient-attention

  An implementation of the efficient attention module.

  Language:Python28561326

• ts-kim/RevIN

  RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift

  Language:Python27971424

• tsinghua-fib-lab/Traffic-Benchmark

  Language:Python27571676

• vijaydwivedi75/gnn-lspe

  Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

  Language:Python2454235

• PolarisRisingWar/cs224w-2021-winter-colab

  cs224w（图机器学习）2021冬季课程的colab

  Language:Jupyter Notebook2363238

• zhumeiqiBUPT/AM-GCN

  AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

  Language:Python22822147

• jwwthu/DL4Traffic

  This is the repository for the collection of Deep Learning for Traffic Prediction Problems.

  Language:Jupyter Notebook22216440

• LibCity/Bigscity-LibCity-PaperList

  Paper list in traffic prediction field

  2196124

• loeweX/AmortizedCausalDiscovery

  Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

  Language:Python2017842

• Zymrael/gde

  Neural Graph Differential Equations (Neural GDEs)

  Language:Jupyter Notebook1908232

• david-knigge/ccnn

  Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs/2301.10540.

  Language:Python18141120

• OpenNLPLab/cosFormer

  [ICLR 2022] Official implementation of cosformer-attention in cosFormer: Rethinking Softmax in Attention

  Language:Python18051026

• DevinKreuzer/SAN

  Language:Python1497530

• HyunWookL/PM-MemNet

  Language:Python103372

• shixinzhang/MeituanRetailHelper

  美团买菜助手

  Language:Java383619

• Z-GCNETs/Z-GCNETs

  Language:Python372310

• zhouhaoyi/POLLA

  The official implementation of POLLA.

  Language:Python7423

• yxf18/robVeg-meituan

  美团买菜，autojs

  Language:JavaScript32