eubinecto/the-clean-rnns

Issues

• Chronicles

  #1 opened 2 years ago by eubinecto
  0

• train & evaluate them on M1

  #42 opened 2 years ago by eubinecto
  0

• train & evaluate them on Grid.AI

  #41 opened 2 years ago by eubinecto
  0

• implement an optimised version of LSTM

  #38 opened 2 years ago by eubinecto
  0

• implement an optimised version of RNN

  #36 opened 2 years ago by eubinecto
  0

• implement an optimised version of BiLSTM

  #39 opened 2 years ago by eubinecto
  1

• `cells`는 그냥 `torch.nn.Sequential`로 처리하기

  #33 opened 2 years ago by eubinecto
  0

• entity는 그냥 환경변수에서 불러오기

  #31 opened 2 years ago by eubinecto
  0

• 리드미 업데이트

  #29 opened 2 years ago by eubinecto
  2

• BiLSTM 배포하기

  #28 opened 2 years ago by eubinecto
  2

• BiLSTM 학습시키기

  #27 opened 2 years ago by eubinecto
  1

• BiLSTM 구현하기

  #25 opened 2 years ago by eubinecto
  0

• 리드미에 RNN과 LSTM의 하이퍼파라미터, 성능지표를 정리해서 업로드하기

  #23 opened 2 years ago by eubinecto
  0

• 웹 데모를 좀 더 친절하게 수정하기

  #21 opened 2 years ago by eubinecto
  0

• `LSTM` 평가하기

  #17 opened 2 years ago by eubinecto
  1

• 웹데모에서 `RNN`과 `LSTM`의 결과를 비교할 수 있도록 만들기

  #18 opened 2 years ago by eubinecto
  1

• `LSTMCell`, `LSTM` 구현하기

  #14 opened 2 years ago by eubinecto
  0

• 데이터 & 토크나이저 구축

  #2 opened 2 years ago by eubinecto
  2

• 버전 릴리즈 하기

  #12 opened 2 years ago by eubinecto
  0

• RNN 성능 평가하기 (`run_test.py`)

  #8 opened 2 years ago by eubinecto
  1

• streamlit으로 배포하기 (`run_deploy.py`)

  #9 opened 2 years ago by eubinecto
  0

• RNN 훈련시키기 (`run_train.py`)

  #7 opened 2 years ago by eubinecto
  2

• RNN 구현하기 (`models.py`)

  #5 opened 2 years ago by eubinecto
  0