Stars
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A high-throughput and memory-efficient inference and serving engine for LLMs
A generative speech model for daily dialogue.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Command-line program to download image galleries and collections from several image hosting sites
[CVPR 2024] MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
a state-of-the-art-level open visual language model | 多模态预训练模型
Firefly: 大模型训练工具,支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型
Use PEFT or Full-parameter to finetune 400+ LLMs (Qwen2.5, InternLM3, GLM4, Llama3.3, Mistral, Yi1.5, Baichuan2, DeepSeek-R1, ...) and 150+ MLLMs (Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, Int…
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Aligning pretrained language models with instruction data generated by themselves.
ModelScope-Agent: An agent framework connecting models in ModelScope with the world
AgentTuning: Enabling Generalized Agent Abilities for LLMs
TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型,实现了包括LLaMA,ChatGLM,BLOOM,GPT2,Seq2Seq,BART,T5,UDA等模型的训练和预测,开箱即用。
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
pytextclassifier is a toolkit for text classification. 文本分类,LR,Xgboost,TextCNN,FastText,TextRNN,BERT等分类模型实现,开箱即用。
中文文本分类任务,基于PyTorch实现(TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention, DPCNN, Transformer,Bert,ERNIE),开箱即用!