Model-as-a-Service in the making: bring accessible AI to all.
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L'organizzazione ModelScope su GitHub presenta una vasta gamma di repository pubblici, con un focus sull'intelligenza artificiale e sul machine learning. Tra i progetti di spicco ci sono FunASR, un toolkit per il riconoscimento vocale, e ms-swift, che facilita l'uso di modelli di linguaggio avanzati. I principali linguaggi di programmazione utilizzati includono Python, Jupyter Notebook e JavaScript.
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
Nessuna descrizione fornita per questo repository.
🐿️ 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!
Nessuna descrizione fornita per questo repository.
a toolkit on knowledge distillation for large language models
MotionAgent is your AI assistent to convert ideas into motion pictures.
Nessuna descrizione fornita per questo repository.
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.
Nessuna descrizione fornita per questo repository.
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.
Nessuna descrizione fornita per questo repository.
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, ...).
Nessuna descrizione fornita per questo repository.
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/
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
Nessuna descrizione fornita per questo repository.
Nessuna descrizione fornita per questo repository.
Langchain integration for ModelScope
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
Nessuna descrizione fornita per questo repository.
ModelScope sviluppa una serie di progetti focalizzati sull'intelligenza artificiale, tra cui toolkit per il riconoscimento vocale e modelli di linguaggio. I repository contengono strumenti per vari aspetti dell'AI, inclusa l'elaborazione del linguaggio naturale.
ModelScope utilizza principalmente Python, Jupyter Notebook, HTML, C, JavaScript e CSS. Questi linguaggi supportano la creazione di tool e modelli per l'AI e il machine learning, coprendo vari aspetti della programmazione.
Sì, tutti i repository di ModelScope sono pubblici. Questo consente a chiunque di accedere ai progetti, contribuire e utilizzare gli strumenti sviluppati dall'organizzazione, promuovendo la trasparenza e la collaborazione nella comunità di sviluppo.
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