MuzzammilShah/Road-to-AI

A structured documentation hub for AI and ML concepts, based on Andrej Karpathy's 'Zero to Hero' series, featuring practical implementations and learning resources for language models and transformers.

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mohanad-hafez/char_models_arabic_nlp

This repository contains the source code for our research on character-level models in Arabic Natural Language Processing (NLP).

Language: Python - Size: 15 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

explanare/char-iit

A causal intervention framework to learn robust and interpretable character representations inside subword-based language models

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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

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clovaai/group-transformer

Official code for Group-Transformer (Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model, COLING-2020).

Language: Python - Size: 51.8 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 25 - Forks: 1

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

Language: Python - Size: 9.06 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 33 - Forks: 6

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

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sjmiller8182/character-convolutions-classification

An implementation of "Character-level Convolutional Networks for Text Classification" in Tensorflow. See https://arxiv.org/pdf/1509.01626.pdf.

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Sangarshanan/song-lyrics-generation-and-analysis

Lyrics Generation:notes: using LSTM , word2vec Analysis and more

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razormin/Sequence-Models

Sequence Models coding assignments

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tejaslodaya/character-level-language-model

Build a character level language model to generate new dinosaur names

Language: Python - Size: 164 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 3

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.

Language: Python - Size: 211 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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

Notebooks of programming assignments of Sequence Models course of deeplearning.ai on coursera in May-2020

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jungsoh/rnn-character-level-language-model

Recurrent neural network for building a character-level language model and its application to generating new dinosaur names

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susantabiswas/Article-Generator

Text Article generator using using Character level LSTM network.

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

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sairajk/Language-Models

A character Level Language model using Tensorflow in Python 3.

Language: Python - Size: 68.4 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

susantabiswas/Name-Gen-RNN

Name generation using RNN. This model was trained for generating indian names. Made using keras.

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