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qingsongedu avatar

qingsongedu/Awesome-SSL4TS

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View on GitHub↗
381 stars·25 forks·12 views

Awesome SSL4TS

A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS), which is the first work to comprehensively and systematically summarize the recent advances of Self-Supervised Learning for modeling time series data to the best of…

Features

  • Awesome List - A community-curated directory that catalogs and links out to other open-source projects, rather than a standalone tool you run yourself.
  • Research and Surveys - Taxonomy and resources for self-supervised learning in time series.
  • Research Surveys and Tutorials - Taxonomy and progress of self-supervised learning for time series.

Star history

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How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Awesome SSL4TS

These projects share indexed features with Awesome SSL4TS. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • kimmeen/awesome-gnn4tsKimMeen avatar

    KimMeen/Awesome-GNN4TS

    861View on GitHub↗

    Awesome Graph Neural Networks for Time Series Analysis (GNN4TS)

    View on GitHub↗861
  • xiaoxinhe/awesome-graph-llmXiaoxinHe avatar

    XiaoxinHe/Awesome-Graph-LLM

    2,439View on GitHub↗

    A collection of AWESOME things about Graph-Related Large Language Models (LLMs).

    View on GitHub↗2,439
  • hannibal046/awesome-llmHannibal046 avatar

    Hannibal046/Awesome-LLM

    26,933View on GitHub↗

    This project serves as a comprehensive, static directory of external resources dedicated to the study and application of large language models. It functions as a centralized discovery point for developers and researchers, aggregating foundational academic papers, technical documentation, and specialized tools within a structured, version-controlled knowledge base. The repository distinguishes itself through a multi-level classification system that organizes diverse technical domains, ranging from model training frameworks and inference optimization to AI safety and hallucination detection. By

    View on GitHub↗26,933
  • bradyfu/awesome-multimodal-large-language-modelsBradyFU avatar

    BradyFU/Awesome-Multimodal-Large-Language-Models

    17,892View on GitHub↗

    :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

    chain-of-thoughtin-context-learninginstruction-following
    View on GitHub↗17,892
Compare all 30 related projects→

Frequently asked questions

What does qingsongedu/awesome-ssl4ts do?

A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS), which is the first work to comprehensively and systematically summarize the recent advances of Self-Supervised Learning for modeling time series data to the best of…

What are the main features of qingsongedu/awesome-ssl4ts?

The main features of qingsongedu/awesome-ssl4ts are: Awesome List, Research and Surveys, Research Surveys and Tutorials.

Which projects share features with qingsongedu/awesome-ssl4ts?

Projects with overlapping indexed features include: kimmeen/awesome-gnn4ts — Awesome Graph Neural Networks for Time Series Analysis (GNN4TS). xiaoxinhe/awesome-graph-llm — A collection of AWESOME things about Graph-Related Large Language Models (LLMs). mooler0410/llmspracticalguide — A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers). eugeneyan/open-llms — 📋 A list of open LLMs available for commercial use. bradyfu/awesome-multimodal-large-language-models — :sparkles::sparkles:Latest Advances on Multimodal Large Language Models. hannibal046/awesome-llm — This project serves as a comprehensive, static directory of external resources dedicated to the study and application…