Showing 21-40 of 154 projects
Hands-on LLMs tutorial series for developers
Parameter-efficient fine-tuning for large models
Qwen is a large language model series by Alibaba Cloud with multiple variants and capabilities.
Multilingual voice generation model with full-stack capabilities for TTS, training, and deployment
统计学习方法代码实现
A Python library for fine-tuning stable diffusion models for text-to-image generation.
The ultimate toolkit for finetuning diffusion models, a key component of AI-powered coding tools.
Easily fine-tune, evaluate and deploy open-source large language models like GPT-OSS and Llama.
An extensible toolkit for finetuning and inference of large language models, enabling 'large models for all'.
Open-source Chinese language model BELLE for building AI-powered chatbots and conversational applications.
The repository provides code and tools for running inference and fine-tuning with the Meta Segment Anything Model 3 (SAM 3).
A fast and optimized implementation of Stable Diffusion with DreamBooth support, for developers building AI-powered tools and applications.
This is an implementation of the Dreambooth technique for fine-tuning Stable Diffusion models.
An open-source bilingual pre-trained language model that can be used for a variety of NLP tasks.
Open-source reproduction of Meta's LLaMA 7B language model for AI and machine learning research.
A library for fine-tuning diffusion models like Stable Diffusion using Low-Rank Adaptation (LoRA) for quick and efficient model personalization.
StarCoder is a Python library for fine-tuning and inference of large language models.
PyTorch code for training Vision Transformers using the Self-Supervised DINO learning method.
An open-source Chinese version of the LLaMA and Alpaca language models with 64K long context support for advanced NLP applications.
Official release of the InternLM series of large language models focused on building AI tools and chatbots.
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