ModelScope
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- Making data higher-quality, juicier, and more digestible for foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！
ms-swift
PublicUse PEFT or Full-parameter to finetune 400+ LLMs (Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, ...) or 100+ MLLMs (Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2.5, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL2, Phi3.5-Vision, GOT-OCR2, ...).- A streamlined and customizable framework for efficient large model evaluation and performance benchmarking
- DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures, including CUDA, x86 and ARMv9.
- A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization
- ModelScope: bring the notion of Model-as-a-Service to life.
- A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
- Start building LLM-empowered multi-agent applications in an easier way.
- Enjoy easier conversations with LLM
facechain
Public- SCEPTER is an open-source framework used for training, fine-tuning, and inference with generative models.
- ModelScope-Agent: An agent framework connecting models in ModelScope with the world
richdreamer
Public[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_AIGCmotionagent
Public- Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated.
- FunCodec is a research-oriented toolkit for audio quantization and downstream applications, such as text-to-speech synthesis, music generation et.al.
KAN-TTS
PublicKAN-TTS is a speech-synthesis training framework, please try the demos we have posted at https://modelscope.cn/models?page=1&tasks=text-to-speechAdaSeq
PublicAdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models