GitHub topics: vanilla-rnn
suprasauce/RNN
implemented "vanilla RNN", "LSTM" and "GRU" from scratch
Language: Python - Size: 1.2 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 0
ankitesh97/NewsGenerator
Rnn (vanial, GRU and LSTM) from scratch
Language: Python - Size: 40 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 2
utsav-195/sentiment-analysis-using-rnn-in-pytorch
Performed supervised learning using Vanilla RNN, Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) models to predict sentiment of IMDb movie reviews data.
Language: Jupyter Notebook - Size: 188 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0
xiaoyaooo/LSTM_Assignment_DLNN
This is the assignment of lecture Deep Learning and Neural Network from KIT. To goal is to build an LSTM network without Tensorflow, Keras, and PyTorch.
Language: Python - Size: 616 KB - Last synced at: 5 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
abhilash1910/DeepGenerator
Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy
Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: 4 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
deepakrana47/character-predictor
Predictes the posible full word based on given partial text.
Language: Python - Size: 3.31 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1
