Alternatives and similar repositories for simple-rnns:

Users that are interested in simple-rnns are comparing it to the libraries listed below

• eubinecto / k4ji_ai
  4명의 김씨, 한명의 진씨, 한명의 임씨가 모여서 인공지능을 공부하고 있습니다.
  ☆13Updated 3 years ago
• yukyunglee / transformers-resources
  huggingface transformers tutorial, code, resources
  ☆26Updated 9 months ago
• jwkanggist / SSL-narratives-NLP-1
  거꾸로 읽는 self-supervised learning in NLP
  ☆27Updated 2 years ago
• toriving / KoEDA
  Korean Easy Data Augmentation
  ☆94Updated 3 years ago
• lbox-kr / lbox-open
  ☆87Updated 2 years ago
• LG-NLP / KorWikiTableQuestions
  This repo is for Korean wiki table question answering datasets described in the paper of Korean-Specific Dataset for Table Question Answe…
  ☆91Updated 2 months ago
• BM-K / KoSimCSE-SKT
  Simple Contrastive Learning of Korean Sentence Embeddings
  ☆48Updated 2 years ago
• eubinecto / the-clean-rnns
  A clean and structured implementation of the RNN family with wandb and pytorch-lightning
  ☆48Updated 2 years ago
• jinmang2 / boostcamp_ai_tech_2
  Naver Boostcamp AI Tech 2기
  ☆47Updated 3 years ago
• yookyungkho / DSBA_CS224N_2021
  "CS224n 2021 winter" study - KoreaUniv. DSBA Lab
  ☆15Updated 2 years ago
• JoJo0217 / rlhf_korean_dataset
  For the rlhf learning environment of Koreans
  ☆23Updated last year
• LostCow / KLUE
  KLUE Benchmark 1st place (2021.12) solutions. (RE, MRC, NLI, STS, TC)
  ☆25Updated 2 years ago
• vhrehfdl / NLP_Company
  ☆12Updated 3 years ago
• thejungwon / search-engine-tutorial
  ☆29Updated 2 years ago
• bcaitech1 / p3-mrc-team-ikyo
  Naver Boostcamp AI Tech Stage 3 : MRC (Machine Reading Comprehension)
  ☆11Updated 3 years ago
• youngerous / kobart-voice-summarization
  PyTorch KoBART/DistilKoBART Application
  ☆14Updated 2 years ago
• kimcando / BoostcampAITech3-PaperReading-Embedding
  Boostcamp AI Tech 3rd / Basic Paper reading w.r.t Embedding
  ☆13Updated 2 years ago
• BM-K / KoMiniLM
  Korean Light Weight Language Model
  ☆30Updated last year
• TEAM-IKYO / Open-Domain-Question-Answering
  Naver Boostcamp AI Tech Stage 3 Competition : Machine Reading Comprehension
  ☆26Updated 3 years ago
• boostcampaitech2 / final-project-level3-nlp-12
  [누구인가? 누가 내 험담을 하였는가!] 악플수집 서비스 #악플 #멈춰
  ☆9Updated 2 years ago
• boostcampaitech2 / final-project-level3-nlp-02
  final-project-level3-nlp-02 created by GitHub Classroom
  ☆11Updated 3 years ago
• ydy8989 / boostcamp
  Naver Boostcamp AI Tech의 기록
  ☆34Updated 3 years ago
• wisenut-research / KoT5
  한국어 T5 모델
  ☆48Updated 3 years ago
• vhrehfdl / bentoml_tutorial
  ☆11Updated 2 years ago
• jucho2725 / ktextaug
  Data Augmentation Toolkit for Korean text.
  ☆51Updated 3 years ago
• boychaboy / KOLD
  KOLD: Korean Offensive Language Dataset
  ☆80Updated 2 years ago
• Beomi / KcBERT-Finetune
  KcBERT/KcELECTRA Fine Tune Benchmarks code (forked from https://github.com/monologg/KoELECTRA/tree/master/finetune)
  ☆42Updated 2 years ago
• seopbo / nlp_tutorials
  huggingface를 이용하여 downstream task 수행하기
  ☆64Updated 3 years ago
• VumBleBot / odqa_baseline_code
  Baseline code for Korean open domain question answering(ODQA)
  ☆77Updated last year
• tunib-ai / KMWP
  Korean Math Word Problems
  ☆57Updated 3 years ago