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Amon's Projects

alphazero_gomoku icon alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

atrial-classification icon atrial-classification

Deep Neural Network for Atrial Fibrillation Classification using Tensorflow (For education purpose only)

autophrase icon autophrase

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

awesome_chinese_medical_nlp icon awesome_chinese_medical_nlp

中文医学NLP公开资源整理:术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

baize-chatbot icon baize-chatbot

Let ChatGPT teach your own chatbot in hours with a single GPU!

belle icon belle

BELLE: BE Large Language model Engine(开源中文对话大模型)

brain_dump icon brain_dump

Tools to generate mindmaps compatible from markdown-like text files, either as PNG with graphviz or as wisemapping-compatible XMLs

bratreader icon bratreader

Python code for reading Brat Repositories. Supports saving and reading from XML files for easy acces to annotations.

bratutils icon bratutils

A collection of utilities for manipulating data and calculating inter-annotator agreement in brat annotation files.

caregpt icon caregpt

🌞 CareGPT (关怀GPT)是一个医疗大语言模型,同时它集合了数十个公开可用的医疗微调数据集和开放可用的医疗大语言模型,包含LLM的训练、测评、部署等以促进医疗LLM快速发展。Medical LLM, Open Source Driven for a Healthy Future.

cblue icon cblue

中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

chatie icon chatie

official repository for ChatIE paper and a tool of IE using ChatGPT. Note: we set a default openai key in the tool, you can tell us if reach limit. The response speed depends on the official openai chatgpt api. ( sometimes, the official is too crowded and the speed/model will be slow/overloaded.)

chinese-alpaca-lora icon chinese-alpaca-lora

骆驼:A Chinese finetuned instruction LLaMA. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

chinese-clinical-ner icon chinese-clinical-ner

CCKS2019中文命名实体识别任务。从医疗文本中识别疾病和诊断、解剖部位、影像检查、实验室检验、手术和药物6种命名实体。现已实现基于jieba和AC自动机的baseline构建、基于BiLSTM和CRF的序列标住模型构建。bert的部分代码主要源于https://github.com/charles9n/bert-sklearn.git 感谢作者。 模型最终测试集得分0.81,还有较大改进空间。可以当做一个baseline。

chinese-llama-alpaca icon chinese-llama-alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

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