Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
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Dec 9, 2018 - Python
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bidirectional-rnn
Here are 16 public repositories matching this topic...
Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
natural-language-processing theano language-modeling lstm gru rnn bidirectional-rnn bidirectional-gru bidirectional-lstm
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Sep 16, 2016 - Python
Tensorflow implementation of Attention-based Bidirectional RNN text classification.
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Jun 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.
deep-learning chatbot python3 beam-search neural-machine-translation sqlite3-database attention-mechanism bidirectional-rnn encoder-decoder-model pytorch-nlp reddit-dataset pytorch-nmt pytorch-implementation nmt-chatbot social-network-chatbot
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Apr 9, 2021 - Python
Character level recurrent neural networks for Sentiment Analysis
recurrent-neural-networks lstm-neural-networks bidirectional-rnn imdb-sentiment-analysis lstm-sentiment-analysis
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Sep 25, 2018 - Python
Unsupervised video summarization with deep(GAN) reinforcement learning
reinforcement-learning deep-learning generative-adversarial-network lstm-neural-networks bidirectional-rnn cnn-pytorch
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Aug 16, 2024 - Python
Multi-Agent Reinforcement Learning with Particle Env. (on going)
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Jul 20, 2020 - Python
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.
deep-neural-networks machine-translation keras lstm gru rnn text-processing embedding bidirectional-rnn encoder-decoder
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Apr 17, 2018 - Python
RNN
pytorch lstm gru bidirectional bidirectional-rnn pytorch-tutorials pytorch-nlp-tutorial dynamic-rnn pack-padded-sequence
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Dec 12, 2017 - 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
sentiment-analysis sentiment-classification bidirectional-rnn gated-recurrent-units gated-neural-network
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Feb 5, 2024 - Python
This package uses Long Short-Term Memory (LSTM) to forecast a stock price that user enters.
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Sep 5, 2021 - Python
Implementation of 'DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging'
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May 15, 2019 - Python
Given 10 predefined relations like cause-effect, product-producer, etc, the goal was to define the relation and the direction of the relation b/w 2 entities in a sentence.
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Jun 16, 2020 - Python
Sequence-to-Sequence Deep Learning approach to Machine Translation
nlp natural-language-processing deep-learning tensorflow lstm seq2seq neural-machine-translation seq2seq-model bidirectional-rnn
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May 9, 2018 - Python
A biRNN for emotion prediction/sentiment analysis of tweets implemented with Tensorflow. Semester project for the course "Deep Learning" at the University of Tübingen in the summer semester 2017.
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Feb 4, 2020 - Python
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