character-level-language-model

There are 0 repository under character-level-language-model topic.

Arabic-Tashkeela-Model
Anwarvic / Arabic-Tashkeela-Model
This is a diacritization model for Arabic language. This model was built/trained using the Tashkeela: the Arabic diacritization corpus on Kaggle
arabic-nlp nlp character-level-language-model hmm-model tashkeela-model arabic-diacritics
Language:Python 33
clovaai / group-transformer
Official code for Group-Transformer (Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model, COLING-2020).
language-modeling character-level-language-model lightweight pytorch
Language:Python 25
Sangarshanan / song-lyrics-generation-and-analysis
Lyrics Generation:notes: using LSTM , word2vec Analysis and more
lstm word2vec rap-lyrics word-level-lstm character-level-language-model plotly
Language:Jupyter Notebook 10
susantabiswas / Article-Generator
Text Article generator using using Character level LSTM network.
rnn lstm text-generation character-level-language-model character-level-rnn
Language:Python 6
tejaslodaya / character-level-language-model
Build a character level language model to generate new dinosaur names
rnn language-model numpy dinosaurs character-level-language-model
Language:Python 5
razormin / Sequence-Models
Sequence Models coding assignments
recurrent-neural-network character-level-language-model lstm-network transformers neural-machine-translation word-vector-representation trigger-word-detection sequence-models
Language:Jupyter Notebook 4
MUHAMMADAKMAL137 / IMDB-Dataset-Classification-using-Pre-trained-Word-Embedding-with-GloVec-6B
In this project, I worked with a small corpus consisting of simple sentences. I tokenized the words using n-grams from the NLTK library and performed word-level and character-level one-hot encoding. Additionally, I utilized the Keras Tokenizer to tokenize the sentences and implemented word embedding using the Embedding layer. For sentiment analysis
one-hot-encoding word-embeddings pre-trained-glove-6b pre-trained-word-embedding character-level character-level-language-model word-level-language-model word-level corpus ngrams seq2seq
Language:Jupyter Notebook 2
sjmiller8182 / character-convolutions-classification
An implementation of "Character-level Convolutional Networks for Text Classification" in Tensorflow. See https://arxiv.org/pdf/1509.01626.pdf.
nlp character-level-cnn character-level-language-model paper-implementations character-convolutional-models natural-language-processing natural-language-understanding
Language:Python 2
Subangkar / Sequence-Models-Deeplearning.ai-Coursera-Assignments
Notebooks of programming assignments of Sequence Models course of deeplearning.ai on coursera in May-2020
rnn lstm lstm-sentiment-classification brnn sequence-models word2vec attention-model language-modeling trigger-word-detection emojify-text andrew-ng-course coursera-assignment deeplearning-ai neural-machine-translation rnn-model character-level-language-model word-embeddings
Language:Jupyter Notebook 2
Kiminjo / Character-level-language-model
It aims to write new sentences by learning character units sentences using RNN. As training data, a collection of Shakespeare's novels was used.
rnn rnn-pytorch nlp character-level-language-model lstm
Language:Python 1
UpasanaGhosh / NLP-Text-Generation-using-Deep-Learning-Models
character-level-language-model
Language:Jupyter Notebook 0
jungsoh / rnn-character-level-language-model
Recurrent neural network for building a character-level language model and its application to generating new dinosaur names
character-level-language-model gradient-clipping recurrent-neural-network rnn rnn-lstm stochastic-gradient-descent
Language:Jupyter Notebook
ksasso1028 / vintage_vectors
retro style tokenization for language models
canine character-level-language-model huggingface large-language-models llm natural-language natural-language-processing natural-language-understanding tokenization tokenizer transformers unicode unicode-characters unicode-converter
Language:Python
surrey-nlp / PLODv2-CLM4AbbrDetection
This repository contains the code and PLODv2 dataset to train character-level language models (CLM) for abbreviation and long-form detection released with our LREC-COLING 2024 publication
abbreviations-detection character-level-language-model datasets natural-language-processing sequence-labeling
Language:Jupyter Notebook
susantabiswas / Name-Gen-RNN
Name generation using RNN. This model was trained for generating indian names. Made using keras.
rnn name-generation character-level-language-model character-level-rnn gru text-sampling
Language:Jupyter Notebook

character-level-language-model

Anwarvic / Arabic-Tashkeela-Model

clovaai / group-transformer

Sangarshanan / song-lyrics-generation-and-analysis

susantabiswas / Article-Generator

tejaslodaya / character-level-language-model

razormin / Sequence-Models

MUHAMMADAKMAL137 / IMDB-Dataset-Classification-using-Pre-trained-Word-Embedding-with-GloVec-6B

sjmiller8182 / character-convolutions-classification

Subangkar / Sequence-Models-Deeplearning.ai-Coursera-Assignments

Kiminjo / Character-level-language-model

UpasanaGhosh / NLP-Text-Generation-using-Deep-Learning-Models

jungsoh / rnn-character-level-language-model

ksasso1028 / vintage_vectors

surrey-nlp / PLODv2-CLM4AbbrDetection

susantabiswas / Name-Gen-RNN