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#

bidirectional-rnn

Here are 40 public repositories matching this topic...

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

  • UpdatedDec 9, 2018
  • Python

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

  • UpdatedSep 16, 2016
  • Python

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

  • UpdatedJun 15, 2018
  • Python

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

  • UpdatedApr 9, 2021
  • Python

A third year project that revolves around classification of climbing routes using image processing and deep learning techniques

  • UpdatedDec 21, 2023
  • Jupyter Notebook

Learn to code deep learning algorithms

  • UpdatedJan 19, 2019
  • Jupyter Notebook

Character level recurrent neural networks for Sentiment Analysis

  • UpdatedSep 25, 2018
  • Python

Unsupervised video summarization with deep(GAN) reinforcement learning

  • UpdatedAug 16, 2024
  • Python

Multi-Agent Reinforcement Learning with Particle Env. (on going)

  • UpdatedJul 20, 2020
  • Python

💉 Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

  • UpdatedSep 22, 2022
  • Jupyter Notebook

Sentiment Classifier using a bidirectional stacked RNN with LSTM/GRU cells for the Twitter sentiment analysis dataset

  • UpdatedMar 19, 2021
  • Jupyter Notebook

build a deep neural network that functions as part of an end-to-end machine translation pipeline; the completed pipeline accepts English text as input and returns the French translation.

  • UpdatedApr 17, 2018
  • Python

This repository contains three variants of a Sentiment Analysis model that uses a GRU (Gated Recurrent Unit) to predict the sentiment of a given text as either positive or negative. The models were built using PyTorch, and the training and testing data came from DLStudio

  • UpdatedFeb 5, 2024
  • Python

🦠| Sentiment analysis on tweets about covid-19 vaccinations using Soft-max Regression, FNN, RNN and BERT-Base-uncased.

  • UpdatedApr 15, 2022
  • Jupyter Notebook

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