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2015lab1

agentuniverse

agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications. Furthermore, through the community, they can exchange and share practices of patterns across different domains.

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-database-learning

A list of learning materials to understand databases internals

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

baichuan2

A series of large language models developed by Baichuan Intelligent Technology

bert-ch-ner

基于BERT的中文命名实体识别

bert-pytorch

BERT 源码阅读

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

bicameralmind

bilstm_crf_sequence_labeling_pytorch

Bi-LSTM+CRF sequence labeling model implemented in PyTorch

bookextraction

Try to extract the knowledge from book and translate it and store it in a machine-using way.

chat-dore

尝试复刻Chat-Haruhi的工作并生成chat哆啦A梦

chatglm-finetuning

基于ChatGLM-6B、ChatGLM2-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning、全参微调等

chinese-poems-generation-via-lstm

chinesenlpcorpus

中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

combo

A Python Toolbox for Machine Learning Model Combination

conv_rec_baseline

bie ta ma kan

designwithcpp

Design Pattern Experiment

dialogue

dialogue-utterance-rewriter

digitaltuan

数字团的桌面宠物

docker-k8s-lab

docker and kubernetes lab

docker-resources

Docker resources collection. docker资源汇总

entity-relation-extraction

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

facade_seg

hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁

her

Directed and Wrote by Spike Jonze, 2013, IMDB 8.0/10

knowledgegraphcourse

东南大学《知识图谱》研究生课程

lectures

Oxford Deep NLP 2017 course