Model-as-a-Service in the making: bring accessible AI to all.
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ModelScope在GitHub上的公共存在展示了其在AI和机器学习领域的强大实力。该组织主要使用Python、Jupyter Notebook等编程语言,发布了多个知名项目,如FunASR和ms-swift,涵盖了语音识别和大规模模型训练等多个方面。
Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
Enjoy the magic of Diffusion models!
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
ModelScope: bring the notion of Model-as-a-Service to life.
Open-source, accurate and easy-to-use video speech recognition & clipping tool. LLM-based AI clipping integrated.
MS-Agent: a lightweight framework to empower agentic execution of complex tasks
An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.
A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
AgentEvolver: Towards Efficient Self-Evolving Agent System
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🐿️ Sirchmunk: Raw data to self-evolving intelligence, real-time.
SCEPTER is an open-source framework used for training, fine-tuning, and inference with generative models.
KAN-TTS is a speech-synthesis training framework, please try the demos we have posted at https://modelscope.cn/models?page=1&tasks=text-to-speech
[CVPR2024 (Highlight)] RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D. Live Demo:https://modelscope.cn/studios/Damo_XR_Lab/3D_AIGC
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
FunCodec is a research-oriented toolkit for audio quantization and downstream applications, such as text-to-speech synthesis, music generation et.al.
Collect every awesome work about r1!
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a toolkit on knowledge distillation for large language models
MotionAgent is your AI assistent to convert ideas into motion pictures.
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DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures, including CUDA, x86 and ARMv9.
The evaluation benchmark on MCP servers
Twinkle✨: Training workbench to make your model glow.
Cutting-edge platform for LLM agent tuning. Deliver RL tuning with flexibility, reliability, speed, multi-agent optimization and realtime community benchmarking.
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Ultron: Collective Intelligence System — Shared Memories, Skills, and Harnesses Across Every Agent
A third-party component library based on Gradio. Integrates Ant Design, Ant Design X, Monaco Editor and more advanced components to help you build applications efficiently.
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An initiative to replicate Sora
MCore-Bridge: Providing Megatron-Core model definitions for state-of-the-art large models and making Megatron training as simple as Transformers — with support for 300+ large language models (Qwen3-Next, GLM-5.1, Deepseek-V4, MiniMax-2.7, ...) and 200+ multimodal large models (Qwen3.5, Qwen3-Omni, Gemma4, ...).
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A modular and stable agent sandbox runtime environment.
Open Image Curation Tools
Enjoy easier conversations with LLM
Collection of model-centric MCP servers
[ATC'25] Katz is a high-performance serving system designed specifically for diffusion model workflows with multiple adapters.
ModelScope's official MCP Server (in active development).
The source code for: https://modelscope.github.io/sirchmunk-web/
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Langchain integration for ModelScope
面向 AI 辅助科研的开放共建仓库 收集和沉淀科研全流程中的 agents、skills、workflows、tools 与最佳实践
The official Python client to connect with ModelScope Hub.
Collection of various Comfy components.
The github website for twinkle-kit
Equip your agents with skills to interact with ModelScope
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modelscope专注于开发与AI相关的工具和框架,包括语音识别、模型训练和评估等项目。其知名的公共库如FunASR和ms-swift为用户提供了工业级的解决方案。
modelscope主要使用Python作为其核心编程语言,同时也使用Jupyter Notebook、HTML、C、JavaScript和CSS等语言。这些语言支持其在人工智能领域的多样化项目开发。
是的,modelscope的所有仓库都是公开的,任何人都可以访问和使用这些资源。这促进了社区的参与和协作,提升了项目的可见性和影响力。