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SGLang is yet another fast serving framework for large language models and vision language models.
《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程
A generative speech model for daily dialogue.
A library for efficient similarity search and clustering of dense vectors.
An Autonomous LLM Agent for Complex Task Solving
A cloud-native vector database, storage for next generation AI applications
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & GLM4
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
MiniCPM-Llama3-V 2.5: A GPT-4V Level Multimodal LLM on Your Phone
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
Question and Answer based on Anything.
A high-throughput and memory-efficient inference and serving engine for LLMs
Convert PDF to markdown quickly with high accuracy
🔥🔥🔥AI-driven data management platform Over 1 million developers are using Chat2DB
Implementation of ACL-2021 paper: Cross-lingual Text Classification with Heterogeneous Graph Neural Network.
FinGLM: 致力于构建一个开放的、公益的、持久的金融大模型项目，利用开源开放来促进「AI+金融」。
Open-Source Reproduction/Demo of the LLM Riddles Game
FinQwen: 致力于构建一个开放、稳定、高质量的金融大模型项目，基于大模型搭建金融场景智能问答系统，利用开源开放来促进「AI+金融」。
Chat-甄嬛是利用《甄嬛传》剧本中所有关于甄嬛的台词和语句，基于ChatGLM2进行LoRA微调得到的模仿甄嬛语气的聊天语言模型。
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition
PyGCL: A PyTorch Library for Graph Contrastive Learning
【机器学习算法手写实现】决策树、随机森林、Bagging方法等
使用支持向量机，感知机，随机森林，决策树，k近邻，logistic，LSTM，bagging，boosting，集成等多种常见算法实现多分类任务（三分类）。Support vector machine, perceptron, random forest, decision tree, k-nearest neighbor, logistic, bagging, boosting, LSTM…
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.