S22

ModernTSF. A structured, engineering-grade time-series forecasting benchmark.

selective-learning. Official Code for the NeurIPS'25 paper: Selective Learning for Deep Time Series Forecasting

nanochat. The best ChatGPT that $100 can buy.

XXLTraffic. [SIGSPATIAL 2025 Best Paper Award] Official implement of XXLTraffic: Expanding and Extremely Long Traffic Forecasting beyond Test Adaptation.

Ai-Review. Large model-assisted paper review

UrbanDiT. Python

APT. APT: Affine Prototype-Timestamp For Time Series Forecasting Under Distribution Shift

Awesome-Efficient-Arch. Speed Always Wins: A Survey on Efficient Architectures for Large Language Models

FusionSF. Python

GPromptShield. Python

dinov2. PyTorch code and models for the DINOv2 self-supervised learning method.

dinov3. Reference PyTorch implementation and models for DINOv3

gpt-oss. gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

dateparser. python parser for human readable dates

al-folio. A beautiful, simple, clean, and responsive Jekyll theme for academics

STELLA. Code for "On the Integration of Spatial-Temporal Knowlegde: A Lightweight Approach to Atmospheric Time Series Forecasting"

Merlin. Code for our SIGKDD'25 paper Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates

STDDE. Official implementation for "Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations"

torchvista. Interactive Pytorch forward pass visualization in notebooks

Awesome-Spatio-Temporal-Foundation-Models. A survey and paper list of current Spatio-Temporal Foundation Models from the pipeline perspective with awesome resources (paper, code, survey, etc.).

MPTS. Model Predictive Task Sampling

SeTok. Codes for ICLR 2025 Paper: Towards Semantic Equivalence of Tokenization in Multimodal LLM

NeurIPS24-Terra. [NeurIPS 2024] Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth

Paper2Poster. [NeurIPS 2025] Open-source Multi-agent Poster Generation from Papers

Awesome-Dataset-Distillation. A curated list of awesome papers on dataset distillation and related applications.

BLAST. Code for our SIGKDD'25 paper BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.

MM4TSA. A professional list on Multi-Modalities For Time Series Analysis (MM4TSA) Papers and Resource.

The-Art-of-Linear-Algebra. Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

The-Art-of-Linear-Algebra-zh-CN. Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.

daily-arXiv-ai-enhanced. Automatically crawl arXiv papers daily and summarize them using AI. Illustrating them using GitHub Pages.

CitationHelper. Google Scholar自搜小脚本，每次开启命令行即显示当前citation。Small Script displaying current citation count each time the shell is opened.

Win-Fonts-For-Mac. Windows中的中文常用字体打包，便于Mac下的网页浏览与文档编辑

mini-stable-diffusion. stable diffusion using pytorch only

awesome-ml-data-quality-papers. Papers about training data quality management for ML models.

VQ-VAE. Minimalist implementation of VQ-VAE in Pytorch

NSFC-LaTex. TeX

NSFC-LaTex. BibTeX Style

awesome-long-tail-learning.

FilterMGAE. Jupyter Notebook

blt. Code for BLT research paper

gift-eval. Jupyter Notebook

Samay. State-of-art Foundational Time-series models

SSCNN. [NeurIPS 2024 Spotlight] Official Code of the paper "Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting"

MineStudio. MineStudio: A Streamlined Package for Minecraft AI Agent Development

umap. Uniform Manifold Approximation and Projection

PatchSTG. [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective

Koodos. [NeurIPS 2024] Continuous Temporal Domain Generalization

Time-MoE. [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

LaVIT. LaVIT: Empower the Large Language Model to Understand and Generate Visual Content

UniFlow. Python

ForecastPFN. Jupyter Notebook

ADBench. Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

ZhihuToMarkdown. 一个将知乎文章自动转换为Markdown的小工具，使用Python编写

BasicTS. A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

llm-action. 本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

modded-nanogpt. NanoGPT (124M) in 90 seconds

T-diff. Python

ntfstool. A ntfs tool for mac

Awesome-Scientific-Language-Models. A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)

chinese-calendar. 判断一天是不是法定节假日/法定工作日（查看节假日安排）

tiny-universe. 《大模型白盒子构建指南》：一个全手搓的Tiny-Universe

Awesome-LLM-Inference. 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉

time-series-analysis-for-education. The collection of related papers and resources for the paper Time Series Analysis for Education: Methods, Applications, and Future Directions.

rye. a Hassle-Free Python Experience

sktime. A unified framework for machine learning with time series

transformers-code. 手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube

MonitorControl. 🖥 Control your display's brightness & volume on your Mac as if it was a native Apple Display. Use Apple Keyboard keys or custom shortcuts. Shows the native macOS OSDs.

A-Survey-on-Mixture-of-Experts-in-LLMs. [TKDE'25] The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".

TFMAE. [ICDE'2024] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection

GinAR. Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

Awesome_Imputation. Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time series containing NaN missing values/data

FOIL. Python

VAR. [NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

Generalization-Causality. 关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

uni2ts. Unified Training of Universal Time Series Forecasting Transformers

nannyml. nannyml: post-deployment data science in python

explaining-distribution-shifts. The repo for the work "Towards Explaining Distribution Shifts"

lux. Automatically visualize your pandas dataframe via a single print! 📊 💡

STD-MAE. [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

STM-MAE. Python

Transformers_And_LLM_Are_What_You_Dont_Need. The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

granite-tsfm. Foundation Models for Time Series

open-time-series-datasets. A collection of public time series data for machine learning research and modeling.

termax. Termax: an open-sourced implementation of Github Copilot CLI, with command suggestion, explanation, and power by LLMs.

SCNN. [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting"

llama3. The official Meta Llama 3 GitHub site

LISA. Project Page for "LISA: Reasoning Segmentation via Large Language Model"

SGM. Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation (CVPR2024)

SeeClick. The model, data and code for the visual GUI Agent SeeClick

awesome-llm-time-series. tracking papers, datasets, and models of "large language model (LLM) for time series"

TEST. Python

PISA-PromptCast. Python

devika. Devika is the first open-source implementation of an Agentic Software Engineer. Initially started as an open-source alternative to Devin.

KnowCoder. Official Repo of paper "KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction". In the paper, we propose KnowCoder, the most powerful large language model so far for universal information extraction.

lcpfn. Efficient Bayesian Learning Curve Extrapolation

SSL_Comparison. A comparative study on Self-Supervised Learning for Time Series: Contrastive or Generative?

rebar. Code for Retrieval-Based Reconstruction For Time-series Contrastive Learning (ICLR 2024)

DiTMoS. An implementation of DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers

DailyArXiv. Daily ArXiv Papers.

UCTB. An Open Source Spatio-Temporal Prediction Package

create-an-issue. A GitHub Action for creating a new issue from a template file.

cv-arxiv-daily. 🎓Automatically Update CV Papers Daily using Github Actions

chronos-forecasting. Chronos: Pretrained Models for Time Series Forecasting

catalyst. Accelerated deep learning R&D

FastGPT. FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

sealos. Deploy real projects from GitHub or your AI coding agent, then keep them running with AI-powered operations.

MINI_LLM. This is a repository used by individuals to experiment and reproduce the pre-training process of LLM.

TSDB. a Python toolbox loads 173 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.

DiT. Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

DASTNet. [CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"

TSForecasting. This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

ColossalAI. Making large AI models cheaper, faster and more accessible

data-release. Huawei Cloud datasets

deeplearningbook-chinese. Deep Learning Book Chinese Translation

llm-course. Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

M3DDM-Video-Outpainting. [ACM MM 2023] Official implementation of "Hierarchical Masked 3D Diffusion Model for Video Outpainting"

DSformer. Code for our CIKM'23 paper DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction

LLMSurvey. The official GitHub page for the survey paper "A Survey of Large Language Models".

CLIP. CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Awesome-CV-Foundational-Models.

papers.cool. Cool Papers - Immersive Paper Discovery

math.

Auto-PyTorch. Automatic architecture search and hyperparameter optimization for PyTorch

Dish-TS. Time Series Forecasting, Distribution Shift

NBeats-M4. Reproduce performance of NBeats in M4 Dataset

N-BEATS. N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

WeChatMsg.

demand_forecast. Python

Yuan-2.0. Yuan 2.0 Large Language Model

M4-methods. Data, Benchmarks, and methods submitted to the M4 forecasting competition

M5-methods. Data, Benchmarks, and methods submitted to the M5 forecasting competition

excalidraw. Virtual whiteboard for sketching hand-drawn like diagrams

pytorch-transformer-ts. Repository of Transformer based PyTorch Time Series Models

Raincoat. Domain Adaptation for Time Series Under Feature and Label Shifts

LLM4TS. Large Language & Foundation Models for Time Series.

DRAIN. GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"

PPOxFamily. PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

GD-MAE. GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds (CVPR 2023)

n-hits. Python

Urban_Concept_Drift. [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation

ucasproposal. LaTeX Proposal Template for the University of Chinese Academy of Sciences

Traffic-Benchmark. [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

mixupfamily. The implementation of mixup and mainfold mixup method with standard models(PreActRes, WideRes, Dense) in Cifar10, Cifar100 and SVHN dataset on supervised(sl) and semi-supervised(ssl) tasks.

C-Mixup. C-Mixup for NeurIPS 2022

ood_bench. Python

OoD-Bench. [CVPR'22 Oral] Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization

LRDG. Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022

GAT-Informer. This folder contains spatiotemporal prediction models implemented in combination with Informer and GAT.

github-old-feed. Replace the shit💩 new feed with the old one.

stock-baselines. A Standard and Fair Stock Price Prediction Benchmark and Toolkit Built Upon BasicTS.

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

TTSNorm. Python

Pangu-Weather. An official implementation of Pangu-Weather

Awesome-Time-Series-Spatio-Temporal. Awesome Time-Series and Spatio-Temporal Related

TFC-pretraining. Self-supervised contrastive learning for time series via time-frequency consistency

NE-BJ500-for-BasicTS. Python

nanoGPT. The simplest, fastest repository for training/finetuning medium-sized GPTs.

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

How-To-Ask-Questions-The-Smart-Way. 本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。

fpp3-python-readalong. Python-centered read-along of Forecasting: Principles and Practice

continual-learning. PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

LLM-Reading-List. LLM papers I'm reading, mostly on inference and model compression

awesome-AIOps. AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

awesome-AIOps. AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

clusterdata. cluster data collected from production clusters in Alibaba for cluster management research

AIDB. ai4db and db4ai work

ChatGenTitle. 🌟 ChatGenTitle：使用百万arXiv论文信息在LLaMA模型上进行微调的论文题目生成模型

Awesome-Foundation-Models. A curated list of foundation models for vision and language tasks

minirocket. MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

AdaptiveConformal. Code for reproducing the main figures in https://arxiv.org/abs/2106.00170.

CSL. TypeScript

Awesome-GNN4TS. [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

NeurIPS2022-traffic4cast. Code accompanying our NeurIPS 2022 traffic4cast challenge

blog. Public repo for HF blog posts

AMSA. This project is the official implementation of 'Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution', AAAI2022

HowToCook. Programmer's guide about how to cook at home.

LaST. Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022

ST-Norm. [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"

Graph-WaveNet. graph wavenet

STGCL. When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)

UniAD. [CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

Awesome-SSL4TS. A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

SSSD. Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

Campus2024. 2024届互联网校招信息汇总

LargeST. LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)

chatgpt-vscode. VSCode extension that allows you to use ChatGPT or GPT4 inside the IDE

Torch-MTS. My personal PyTorch framework for multivariate time series forecasting.

Awesome-TimeSeries-SpatioTemporal-LM-LLM. A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

awesome-time-series. list of papers, code, and other resources

awesome-test-time-adaptation. Collection of awesome test-time (domain/batch/instance) adaptation methods

Awesome-LLMOps. An awesome & curated list of best LLMOps tools for developers

anonymous_github. Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.

tslearn. The machine learning toolkit for time series analysis in Python

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.

LLMsPracticalGuide. A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

StarLight. Python

MTGODE. [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".

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

ChatPaper. Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

segment-anything. The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.