lee-ju Goto Github PK

20230627

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bert-fine-tuning

이 레포지토리에서 BERT를 huggingface PyTorch 라이브러리로 빠르고 효율적으로 모델을 fine-tuning하여문장 분류에서 우수한 성능에 근접하는 방법을 보여줍니다.

bigdata

data

dslearn

ensemble

gnn4nlp-papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

hmsg

HMSG: Heterogeneous graph neural network based on metapath subgraph learning

k_step_pic

khaiii

Kakao Hangul Analyzer III

nlp-with-transformers

<트랜스포머를 활용한 자연어 처리> 예제 코드를 위한 저장소입니다.

node2vec

Implementation of the node2vec algorithm.

pic

Introducing Patents with Indirect Connection (PIC) for Establishing Patent Strategies

python_dong

respol_patents_code

https://github.com/jcgcarranza/respol_patents_code

rm

stat_modeling

statistical_quality_control

techflow

Framework: Patent Big Data Analysis

tensorflow-nlp-tutorial

tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT와 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.

tf_bbb

Tensorflow Implementation of Bayes by Backprop

torch-uncertainty

Uncertainty for deep learning models in PyTorch :seedling: