Stars
中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3
Easy Data Preparation with latest LLMs-based Operators and Pipelines.
🤗 smolagents: a barebones library for agents that think in code.
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
A general memory system for agents, powered by deep-research
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译,支持 Google/DeepL/Ollama/OpenAI 等服务,提供 CLI/GUI/MCP/Docker/Zotero
TradingAgents: Multi-Agents LLM Financial Trading Framework
FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀
This repository contains the code and released models for the paper Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model, accepted at TMLR.
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Tools for merging pretrained large language models.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
♏➕♐➡️✔️ Build a summarizer models combining transformers and pointing mechanism
A PyTorch implementation of the Transformer model in "Attention is All You Need".
✨Fast Coreference Resolution in spaCy with Neural Networks
Code for using and evaluating SpanBERT.
A Abstractive Summarization Implementation with Transformer and Pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
pycorrector is a toolkit for text error correction. 文本纠错,实现了Kenlm,T5,MacBERT,ChatGLM3,Qwen2.5等模型应用在纠错场景,开箱即用。
Former Graph Drawing Software from FMI.UNI-PASSAU.DE
PCIC 2021 Track1: Causal Discovery
HanLP作者的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.