dongjiaxiang

ShiArthur03

Time-Series-Works-Conferences

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

TaskVis

TaskVis demo with Vue and Flask

dongjiaxiang.github.io

Personal Website

TimeSiam

Transolver

About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/2402.02366

TokenMixup

Official pytorch implementation of NeurIPS 2022 paper, TokenMixup

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

iTransformer

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

TSFpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

ContextWM

Code release for "Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning" (NeurIPS 2023), https://arxiv.org/abs/2305.18499

simmtm

self-supervised time series model

LogME

Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)

SimMTM

About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.org/abs/2302.00861

depyf

depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

TSLoader

Debiased-Self-Training

Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)

Latent-Spectral-Models

About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664

Koopa

Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

kg-build

kg_build

知识图谱构建代码库

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

DesignPatterns

Design Patters Elements of Reusable Object-Oriented Software

TimesNet

About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

Iso-Dream

MotionRNN

About Code release for "MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions" (CVPR 2021) https://arxiv.org/abs/2103.02243

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

SimpleTrack

SimpleTrack: Rethinking and Improving a JDE Approach for Multi-Object Tracking

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch