Публичный след на GitHub ModelScope

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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