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    12 repositories

    • MoE-plus-plus

      Public
      MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts
      moemixture-of-expertslarge-language-modelsllms
      Python
      •
      Apache License 2.0
      •2•64•0•0•Updated Oct 16, 2024Oct 16, 2024

    • MoH

      Public
      MoH: Multi-Head Attention as Mixture-of-Head Attention
      transformermoeattentionvitditmixture-of-expertsllms
      Python
      •
      Apache License 2.0
      •4•74•0•0•Updated Oct 16, 2024Oct 16, 2024

    • agent-studio

      Public
      Environments, tools, and benchmarks for general computer agents
      Python
      •
      GNU Affero General Public License v3.0
      •16•1•0•0•Updated Oct 5, 2024Oct 5, 2024

    • Skywork-Reward

      Public
      Skywork Reward Model Series
      1•5•0•1•Updated Sep 6, 2024Sep 6, 2024

    • Vitron

      Public
      A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing
      Python
      •19•296•6•0•Updated Jul 19, 2024Jul 19, 2024

    • DAQ-VS

      Public
      Code For Our Work: DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries [ECCV-2024]
      0•12•0•0•Updated Jul 11, 2024Jul 11, 2024

    • LLMs-as-Instructors

      Public
      Python
      •1•2•0•0•Updated Jul 2, 2024Jul 2, 2024

    • Gamba

      Public
      Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction
      Python
      •4•75•4•0•Updated Jun 28, 2024Jun 28, 2024

    • Skywork-MoE

      Public
      Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
      6•125•5•0•Updated Jun 12, 2024Jun 12, 2024

    • PointCloudMamba

      Public
      Point Cloud Mamba: Point Cloud Learning via State Space Model
      Python
      •7•76•9•0•Updated Jun 3, 2024Jun 3, 2024

    • vllm

      Public
      A high-throughput and memory-efficient inference and serving engine for LLMs
      Python
      •
      Apache License 2.0
      •4.3k•15•0•0•Updated Jun 3, 2024Jun 3, 2024

    • Skywork

      Public
      Skywork series models are pre-trained on 3.2TB of high-quality multilingual (mainly Chinese and English) and code data. We have open-sourced the model, training data, evaluation data, evaluation methods, etc. 天工系列模型在3.2TB高质量多语言和代码数据上进行预训练。我们开源了模型参数，训练数据，评估数据，评估方法。
      llm
      Python
      •
      Other
      •111•1.2k•13•1•Updated Apr 3, 2024Apr 3, 2024