zhoujiajuly

zhoujiajuly's Stars

• kwuking/TimeMixer

  [ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

  Language:Python1.2k156

• zhangxu0307/time_series_forecasting_pytorch

  time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code

  Language:Python37768

• Bounger2/ST-CGCN

  Display of data sets and core code in STCGCN

  Language:Python183

• hjf1997/STGNP

  KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation

  Language:Python325

• gorgen2020/DVGNN

  Language:Python165

• Visualize-ML/Book4_Power-of-Matrix

  Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

  Language:Python8.5k1.3k

• Visualize-ML/Book5_Essentials-of-Probability-and-Statistics

  Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

  Language:Jupyter Notebook2.8k578

• LMZZML/PriSTI

  Language:Python7014

• wenhaomin/DiffSTG

  Code for DiffSTG

  Language:Python466

• zalandoresearch/pytorch-ts

  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

  Language:Python1.2k191

• YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy

  Diffusion model papers, survey, and taxonomy

  2.9k247

• sczzz3/EHRDiff

  An offical implementation of EHRDiff [TMLR]

  Language:Python235

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python63.5k7.9k

• PingChang818/TDSTF

  Language:Python5910

• kpandey008/DiffuseVAE

  Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

  Language:Python33630

• jonathandumas/generative-models

  Implementation of generative models to compute scenario of renewable generation and consumption.

  Language:Python5813

• EstebanHernandezCapel/DDPM-Power-systems-forecasting

  Language:Jupyter Notebook9

• kuanhenglin/ddim-inversion

  UCLA CS 188 (Winter 2023) course project.

  Language:Python9

• luis-armando-perez-rey/diffusion_vae

  Language:Python235

• snap-stanford/CAW

  Language:Python7218

• StatsDLMathsRecomSys/Inductive-representation-learning-on-temporal-graphs

  Language:Python28461

• KimMeen/Neural-Temporal-Walks

  [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"

  Language:Python508

• AnoushkaVyas/DGLR

  Source code for the paper "Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture".

  Language:Python153

• cure-lab/SCINet

  The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

  Language:Python616127

• j1o2h3n/DDSTGCN

  Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction

  Language:Python397

• LiuAoyu1998/STIDGCN

  Language:Python5010

• Fisher1991/EvolveGCN

  EvolveGCN Evolving Graph Convolutional Networks for Dynamic Graphs

  3

• guokan987/DGCN

  The pytorch code of DGCN(TITS)

  Language:Python4813

• juyongjiang/TimeSeriesDatasets

  This repository collects public benchmark datasets for Time Series Forecasting (TSF).

  131

• juyongjiang/TrendGCN

  [CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting" based on Pytorch.

  Language:Python441