BM-K

Sentence-Embedding-Is-All-You-Need

Korean Sentence Embedding Repository

KoSentenceBERT-ETRI

Sentence Embeddings using Siamese ETRI KoBERT-Networks

KoSentenceBERT-SKT

Sentence Embeddings using Siamese SKT KoBERT-Networks

KoSimCSE-SKT

Simple Contrastive Learning of Korean Sentence Embeddings

KoMiniLM

Korean Light Weight Language Model

KoDiffCSE

Difference-based Contrastive Learning for Korean Sentence Embeddings

Dialogue-Generation-BERT-GPT2-Korean

Troll-Detector

Troll Detector

KoBART-summarization-pytorch

🧀 KoBART summarization using pytorch

KoChatBART

Korean Chatting BART

CoNKT

Contrastive Neural Korean Text Generation

KoIR

Korean Information Retrieval

Paper-Seminar

Paper Seminar

Simple-NER-Implementation

한국어 개체명인식기 (BERT based Named Entity Recognition model for Korean)

Question-Difficulty-Estimation

Question Difficulty Estimation

algorithm

algorithm

BertForMaskedLM-Performance

BERT MLM 성능 체크

BM-K

NewsKoT5

T5 pretrained with Korean news articles

Response-Aware-Candidate-Retrieval

Code for the IP&M "A Hybrid Response Generation by Response-Aware Candidate Retrieval and Seq-to-seq Generation"

Response-Aware-Hybrid-Response-Generator

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

ai-tech-interview

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디

CoNT

[NeurIPS'22 Spotlight] CoNT: Contrastive Neural Text Generation

contriever

Contriever Towards Unsupervised Dense Information Retrieval with Contrastive Learning

DiffCSE

Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

ML-Papers-of-the-Week

🔥Highlighting the top ML papers every week.

Scraper

SimCSE

EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.