Stars
NER Task with CNN + BiLSTM + CRF (with Naver NLP Challenge dataset) with Pytorch
HanBert on 🤗 Huggingface Transformers 🤗
Pytorch Implementation of "Adaptive Co-attention Network for Named Entity Recognition in Tweets" (AAAI 2018)
Character-level Korean ELECTRA Model (음절 단위 한국어 ELECTRA)
📲 Transformers android examples (Tensorflow Lite & Pytorch Mobile)
Korean version of GoEmotions Dataset 😍😢😱
Pytorch Implementation of GoEmotions 😍😢😱
KoBERT on 🤗 Huggingface Transformers 🤗 (with Bug Fixed)
Bias, Hate classification with KoELECTRA 👿
Naver movie review sentiment classification with KoBERT
NER Task with KoBERT (with Naver NLP Challenge dataset)
Multimodal Hashtag Prediction with instagram data & pytorch (2nd Place on OpenResource Hackathon 2019)
Distillation of KoBERT from SKTBrain (Lightweight KoBERT)
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"
Code for EMNLP-IJCNLP 2019 MRQA Workshop Paper: "Domain-agnostic Question-Answering with Adversarial Training"
👶🏻 신입 개발자 전공 지식 & 기술 면접 백과사전 📖
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
Evaluation script for named entity recognition (NER) systems based on entity-level F1 score.
An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!