implemented forward and backward pass of "vanilla RNN", "LSTM" and "GRU" from scratch.
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Sep 6, 2023 - Python
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vanilla-rnn
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Predictes the posible full word based on given partial text.
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Oct 23, 2018 - Python
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.
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Oct 25, 2020 - Jupyter Notebook
Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy
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Aug 24, 2020 - Jupyter Notebook
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.
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Aug 21, 2020 - Python
English to Urdu Neural Machine Translation (NMT) using a Vanilla RNN Encoder-Decoder in PyTorch. An empirical study on sequence-to-sequence bottlenecks, vanishing gradients, and linguistic challenges in SOV languages without using LSTMs or Attention.
nlp deep-learning tensorflow machine-translation neural-networks rnn computational-linguistics vanilla-rnn urdu-language
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Mar 11, 2026
Rnn (vanial, GRU and LSTM) from scratch
machine-learning news deep-learning numpy language-modeling recurrent-neural-networks lstm gru neural-networks rnn backpropagation-learning-algorithm fakenews long-short-term-memory-models long-short-term-memory recurrent-neural-network gated-recurrent-units vanilla-rnn
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Nov 8, 2017 - Python
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