🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Making large AI models cheaper, faster and more accessible

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Chinese version of GPT2 training code, using BERT tokenizer.

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

基于ChatGLM-6B + LoRA的Fintune方案

Module for automatic summarization of text documents and HTML pages.

🌳从中文文本中自动提取关键词和摘要

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

A framework for large scale recommendation algorithms.

novel deep learning research works with PaddlePaddle

Code for paper Fine-tune BERT for Extractive Summarization

Easy to use extractive text summarization with BERT

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

TextRank implementation for Python 3.

Summarizes news articles

Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。

Code for "Learning to summarize from human feedback"

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN