goingcoder's repositories
GPT2-Chinese
中文的GPT2模型训练代码，基于Pytorch-Transformers
attention
some attention implements
Attention-1
一些不同的Attention机制代码
bank_interview
银行笔试面试经验分享及资料分享
Batch_Parallel_LatticeLSTM
Chinese NER using Lattice LSTM. Reproduction for ACL 2018 paper.
bert-multitask-learning
BERT for Multitask Learning
daguan_2019_rank9
达观信息提取比赛第九名代码
DeepLearning
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
knowledge-graph-learning
A curated list of awesome knowledge graph tutorials, projects and communities.
KnowledgeGraph_NER
中文医学知识图谱命名实体识别，包括bi-LSTM+CRF，transformer+CRF等模型
neural-partialCRF
Neural (LSTM) version of the partial CRF model
NLP-Project
including text classifier, language model, pre_trained model, multi_label classifier, text generator, dialogue. etc
nlp-public-dataset
Chinese, English NER, English-Chinese machine translation dataset. 中英文实体识别数据集，中英文机器翻译数据集
Pretraining-Yourself-Bert-From-Scratch
从头训练MASK BERT
pytorch-partial-crf
CRF and Partial/Fuzzy CRF in PyTorch
RNNSharp
RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
seq2seq-model-for-Sohu-2019
完全端到端的核心实体识别与情感预测
simpletransformers
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
textClassifier
tensorflow implementation
TF2.0-TENER
TF2.0-TENER
TF_adapting_transformer
Tensorflow version of adapting transformer in paper "TENER: Adapting Transformer Encoder for Named Entity Recognition"
Transformer-Encoder-with-Char
Transformer Encoder with Char information for text classification
transformers-ner
Pytorch-Named-Entity-Recognition-with-transformers