Model-as-a-Service in the making: bring accessible AI to all.
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Dépôts publics
94 085
Total des étoiles
6 110
Abonnés
L'organisation ModelScope dispose d'une présence notable sur GitHub, avec une large gamme de dépôts publics axés sur l'intelligence artificielle. Les projets incluent des outils comme FunASR pour la reconnaissance vocale et DiffSynth-Studio pour les modèles de diffusion, développés principalement en Python, Jupyter Notebook et d'autres langages.
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
Aucune description fournie pour ce dépôt.
🐿️ 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!
Aucune description fournie pour ce dépôt.
a toolkit on knowledge distillation for large language models
MotionAgent is your AI assistent to convert ideas into motion pictures.
Aucune description fournie pour ce dépôt.
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.
Aucune description fournie pour ce dépôt.
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.
Aucune description fournie pour ce dépôt.
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, ...).
Aucune description fournie pour ce dépôt.
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/
Aucune description fournie pour ce dépôt.
Aucune description fournie pour ce dépôt.
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
Aucune description fournie pour ce dépôt.
ModelScope développe divers outils liés à l'intelligence artificielle, notamment des kits de reconnaissance vocale comme FunASR et des outils de génération de jumeaux numériques tels que FaceChain. Ces projets sont accessibles et visent à rendre l'IA plus accessible.
ModelScope utilise principalement Python et Jupyter Notebook pour ses projets, ainsi que d'autres langages comme HTML, C, JavaScript et CSS. Cela permet une flexibilité dans le développement de solutions d'IA.
Oui, tous les dépôts de ModelScope sont publics sur GitHub. Cela permet à la communauté de consulter, d'utiliser et de contribuer aux projets, favorisant ainsi la collaboration et l'innovation dans le domaine de l'IA.
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