Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024

Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.

[ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured Prediction

LUKE -- Language Understanding with Knowledge-based Embeddings

Extract Keywords from sentence or Replace keywords in sentences.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

💖 ASP.NET Core 8.0 全家桶教程，前后端分离后端接口，vue教程姊妹篇，官方文档：

A high-throughput and memory-efficient inference and serving engine for LLMs

Build datasets using natural language

☘ 一个vue的个人博客项目，配合.net core api教程，打造前后端分离

🥗 打造一个功能强大的通用型Ids4用户认证授权服务中心，配合之前的所有开源项目

基于 Vben Admin Antd 构建的 fastapi_best_architecture 前端完整版实施

FastAPI Best Architecture is an enterprise-grade backend architecture solution built with FastAPI. FastAPI 最佳架构是使用 FastAPI 构建的企业级后端架构解决方案

Secure, scalable access management built with Next.js and T3 Stack

🧑‍🚀 An identity and access management (IAM) infrastructure with authentication, authorization, MFA, SSO, user management, and multi-tenancy features. Supports OAuth 2.0, OIDC, and SAML. No framewor…

Supercharge Your LLM Application Evaluations 🚀

A Bulletproof Way to Generate Structured JSON from Language Models

Implementing the 4 agentic patterns from scratch

A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

Train transformer language models with reinforcement learning.

[CVPR 2024] Official Code for the Paper "Compositional Chain-of-Thought Prompting for Large Multimodal Models"

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…

Images to inference with no labeling (use foundation models to train supervised models).

Finetune Llama 3.3, DeepSeek-R1, Gemma 3 & Reasoning LLMs 2x faster with 70% less memory! 🦥

Advanced RAG chat with PDF

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Fully open reproduction of DeepSeek-R1

Hibernate's core Object/Relational Mapping functionality