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2021-gaiic-phase3-idea

2021-gaiic-track1-idea

全球人工智能技术创新大赛【赛道一】

bi-lstm-crf-ner-tf2.0

Named Entity Recognition (NER) task using Bi-LSTM-CRF model implemented in Tensorflow 2.0(tensorflow2.0 +)

bilibili-video

chinese-text-classification-pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

container

Code for ACL 2022 paper "CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning"

contrast-sets

data-science-competition

该仓库用于记录和定期提供各大数据科学竞赛的赛事消息和原创baseline，思路分享以及博主的一些竞赛心得和学习资料等. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearningfortsf

深度学习以进行时间序列预测

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

entity-recognition-datasets

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

event-extraction

近年来事件抽取方法总结，包括中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取等类型，DMCNN、FramNet、DLRNN、DBRNN、GCN、DAG-GRU、JMEE、PLMEE等方法

event-extration

2020语言与智能技术竞赛：事件抽取任务

flat-ner

code for ACL2020:《FLAT: Chinese NER Using Flat-Lattice Transformer》 我注释&修改&添加了部分源码，使得大家更容易复现这个代码。

gpszuoye

GPS数据分析

just-laws

一个简洁、便捷的**法律文库 | A Simple and Convenient Laws Library of China.

kashgari

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

logical-thought

逻辑思维测试题

lookahead.pytorch

lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch

nab

The Numenta Anomaly Benchmark

ner_demo

中文命名实体识别NER。用keras实现BILSTM+CRF、IDCNN+CRF、BERT+BILSTM+CRF进行实体识别。结果当然是BERT+BILSTM+CRF最好啦。

nlp_corpus

本人项目进行中搜集的数据集，包含原始数据和经过处理后的数据，项目持续更新。

nlp_tricks

Kinds of tricks make up the world and improve our effort!

nlpdataset

记录本人整理的一些数据集

open-llama

The complete training code of the open-source high-performance Llama model, including the full process from pre-training to RLHF.

pytorch-distributed-training

Simple tutorials on Pytorch DDP training

pytorch-transformer

Transformer模型的PyTorch实现

pytorch_bert_biaffine_ner

论文复现《Named Entity Recognition as Dependency Parsing》

pytorch_bert_mrc_ner

论文复现《A Unified MRC Framework for Named Entity Recognition》