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Manchery/README.md

Hi 👋, I'm Jialong Wu (Manchery)

An active stargazer from China

  • 🔭 I'm currently a PhD student (from 2022 Fall) in School of Software, Tsinghua University, advised by Prof. Mingsheng Long.
  • 📘 I've received my Bachelor's degree in Software Engineering and a second Bachelor's degree in Pure and Applied Mathematics, from Tsinghua University.
  • ✨ I'm interested in deep learning, machine learning and mathematics.
  • 💻 I used to enjoy competitive programming and compete in Olympiad in Informatics (OI). manchery manchery manchery
  • 📝 My favorite motto is Sidere mens eadem mutato (Latin, 繁星纵变,智慧永恒 in Chinese).
  • 😄 I'm an idealist and a perfectionist. I'm also an Apple fan and a Pokémon fan.
  • ❤️ I'm lucky to have my love LYW in my life.

Languages and Tools:

cplusplus matlab python pytorch

manchery

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  1. thuml/iVideoGPT thuml/iVideoGPT Public

    Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223

    Python 68 3

  2. thuml/ContextWM thuml/ContextWM Public

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

    Python 54 3

  3. thuml/HarmonyDream thuml/HarmonyDream Public

    Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344

    Python 26 1

  4. thuml/SPOT thuml/SPOT Public

    Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239

    Python 18

  5. thuml/Flowformer thuml/Flowformer Public

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

    Python 303 28

  6. thuml/awesome-multi-task-learning thuml/awesome-multi-task-learning Public

    2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

    670 52