chensaics

MDAgents

MedLLMsPracticalGuide

A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

DocumentSearch

基于sentence transformers和chatglm实现的文档搜索工具

ChatGLM-LLaMA-chinese-insturct

探索中文instruct数据在ChatGLM, LLaMA上的微调表现

zero_nlp

中文nlp解决方案(大模型、数据、模型、训练、推理)

WechatGroupRobot

微信群聊机器人,微信,chatgpt,python,自动化

nlpboss

tiny_python

tiny python project

sinan

中文日期/时间/数字量提取工具

awesome-tensorflow-2

👉 Tensorflow 2.x resources such as tutorial, blog, code and videos

tensorflow-NRE

TF2复现2016ACL论文Neural Relation Extraction with Selective Attention over Instances

Named-Entity-Relation-Extraction

This project extracts different syntactic, lexical and contextual features of pairs of named entities in sentences, which are then used to train models to identify the semantic relation, as well as the direction of the relation, within a pair of entities in a sentence.

ChineseNER

中文NER的那些事儿

WZU-machine-learning-course

温州大学《机器学习》课程资料（代码、课件等）

nlpcda

一键中文数据增强包 ； NLP数据增强、bert数据增强、EDA：pip install nlpcda

OpenPrompt

An Open-Source Framework for Prompt-Learning.

EA-UserSim

sentiment

nlp_tutorial

NLP超强入门指南，包括各任务sota模型汇总（文本分类、文本匹配、序列标注、文本生成、语言模型），以及代码、技巧

Pretrained-Language-Model

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

bert4keras

keras implement of transformers for humans

articulate

A platform for building conversational interfaces with intelligent agents (chatbots)

rasa-webchat

A feature-rich chat widget for Rasa and Botfront

rasa-x-helm

Rasa X Helm chart for deploying on Kubernetes (K8s) and OpenShift.

Rasa-with-Android-app

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

mkdocs

Project documentation with Markdown.

rasa

💬 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

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。