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a_journey_into_math_of_ml

汉语自然语言处理视频教程-开源学习资料

adam_qas

ADAM - A Question Answering System. Inspired from IBM Watson

ai-toolbox

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas

baidu-ai-studio_competition_car-master-quiz-summary-and-reasoning

百度AI studio比赛-汽车大师问答摘要与推理_项目备份

bert-bilstm-crf-ner-pytorch

Pytorch BERT-BiLSTM-CRF For NER

casrel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

ccks2019_evententityextraction_rank5

SEBERTNets：一种面向金融领域的事件主体抽取方法

chinesenre

中文实体关系抽取，pytorch，bilstm+attention

conve

Convolutional 2D Knowledge Graph Embeddings resources

crowdcount-cascaded-mtl

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

deepner

天池中药说明书实体识别挑战冠军方案；中文命名实体识别；NER; BERT-CRF & BERT-SPAN & BERT-MRC；Pytorch

demo-chinese-text-binary-classification-with-bert

doc2edag

eeqa

Event Extraction by Answering (Almost) Natural Questions

ephoie

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

gradio

Create UIs for your machine learning model in Python in 3 minutes

grit_doc_event_entity

hand-recognition

基于残差神经网络的手势识别算法研究code

image-classification-rnn

Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.

kbqa-bert

基于知识图谱的问答系统，BERT做命名实体识别和句子相似度，分为online和outline模式

keqa_wsdm19

Knowledge Graph Embedding Based Question Answering

layoutxlm

layoutlmv2的训练/预测代码抽离

leetcode

llms-in-china

**大模型

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

mrc-for-flat-nested-ner

Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`

mscnn

A Python 3 and Keras 2 implementation of MSCNN for people counting.

mscnn-1

mscnn crowd counting model implementation, source from "Multi-scale Convolution Neural Networks for Crowd Counting" write by Zeng L, Xu X, Cai B, et al.