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Search results for character recurrent neural networks
character
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recurrent-neural-networks
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12 search results found
Char Rnn
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11,227
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Textgenrnn
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4,426
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Char Rnn Tensorflow
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2,622
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
Recurrentjs
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864
Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.
Char Rnn Chinese
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190
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.
Correction
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170
Chinese "spelling" error correction
Chars2vec
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157
Character-based word embeddings model based on RNN for handling real world texts
Arc Pytorch
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140
The first public PyTorch implementation of Attentive Recurrent Comparators
Quasi Rnn
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134
Character-level Neural Translation using Quasi-RNNs
Char Rnn.pytorch
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129
PyTorch implementation of char-rnn (character-level language model)
Min Char Rnn
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127
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
Conditional Character Based Rnn
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94
An efficient character based RNN
Rnn Classification
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83
classify text by rnn/lstm, based on TensorFlow r1.0
Lstm Text Generation
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70
Tons of fun with text and recurrent neural networks! Let your computer read a book and tell you its own story. 🤣
Rnn Theano
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69
RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano
Blocks Char Rnn
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61
Multi-layer RNN (LSTM, GRU, RNN) for character-level language models in Blocks
Word Level Rnn Keras
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59
Word Level RNN for text generation using keras
Char Rnn Tensorflow
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58
Multi-layer Recurrent Neural Networks for character-level language models implements by TensorFlow
Ml Tutorial Notebooks
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41
This depot contain tutorials for real beginners who want to understand machine learning by reading some code.
Korean_char_rnn
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39
Implementation of Character Recussive Neural Network with TensorFlow
Rnnicespellchecker
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38
Context sensitive spell checker for Icelandic based on a recurrent neural network model from karpathy/char-rnn. This repo is no longer in active development but we are still working on this pet project elsewhere.
Language Models
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36
Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).
Pytorch Charrnn
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35
Character RNN implemented in PyTorch
Theano Recurrence
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35
Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
Recur
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31
A collection of Gstreamer plugins based on recurrent neural networks
Handwritingnet
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31
RNN for producing text to handwriting image
Keras Recurrent Neural Network Python
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28
A guide to implementing a Recurrent Neural Network for text generation using Keras in Python
Keras Text Generation
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26
RNN text generation using Keras for word and character level models.
Funnybot
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24
Funny text generation using character level LSTM model, featured in TED ideas
Dnd Characters
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19
Crowdsourced dataset of character names from Dungeons & Dragons players
Pinyin2hanzi
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18
End-to-end translation of Chinese phonetics to characters using bi-directional RNN (LSTM/GRU)
Kor Char Rnn Tensorflow
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15
Korean language requires a little different treatment when we run character level RNN
Character Level Rnn Datasets
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11
Dataset repository for character-level RNN training
Chinese Char Lm
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11
explores Chinese language models with sub-character level visual information
Hkr_dataset
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11
https://doi.org/10.1007/s11042-021-11399-6
Langdist
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10
Multilingual Language Modeling Toolkit
Rnn Text Gen
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10
Text Generation Using RNNs
Character Level Rnn
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9
character-level model (layered LSTM) using Keras
Rnn2source
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9
Source code generation using deep recurrent neural networks
Gru Rnn
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9
Minimal numpy implementation of a RNN using GRUs
Rnet
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9
Batched RNN + LSTM in Python and Numpy for Character Generation
Textgen
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8
The main task of the character-level language model is to predict the next character given all previous characters in a sequence of data, i.e. generates text character by character.
Tensorflowamr
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8
AMR Parsing with seq2seq RNN
Htmlai Rnn
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8
Generate Any Text
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7
Generate any kind of text with Character Embedding and RNN in pure Numpy
Char Rnn Tf
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6
RNN-based Character-level Language Model
Alternate Reality
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6
Recurrent Neural Networks will allow me to sample new text (essays, poems, emails) that I would have hypothetically written in New York given my four years of corpus literature as training data
Char Rnn Java
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5
Simple RNN in Java.
Yeezy Taught Me
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5
Yeezy Taught Me Text Generation. Training next character predictions RNN LSTM model with user input text corpus
Article Generator
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5
Text Article generator using using Character level LSTM network.
Investigation On Handwriting Chinese Character Recognition
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5
中文手写体识别调研
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