NLTK
FrameworkOpen-source projects built with NLTK
There are currently 19 open-source projects built with NLTK, with a combined total of 40.3k GitHub stars. The most common language among these projects is Python.
Showing 19 open-source projects
Fast automatic speech recognition with accurate word-level timestamps and speaker diarization, built on OpenAI's Whisper.
Code and Jupyter notebooks for the book 'Introduction to Machine Learning with Python' by Andreas Mueller and Sarah Guido.
A TensorFlow implementation of a neural conversational model (seq2seq) for building deep learning chatbots.
A deep learning model for machine comprehension that uses bi-directional attention flow to answer questions about text passages.
An open-source study on neural question generation using transformers, providing simplified training and inference pipelines.
TensorFlow implementation of GAN-CLS algorithm for generating images from text descriptions using adversarial networks.
A BERT model pre-trained on PubMed abstracts and clinical notes for biomedical natural language processing tasks.
A Python library for translating between 200 languages using Hugging Face transformer models like mBART-50, m2m100, and NLLB-200.
An open-source benchmark toolkit for Natural Language Generation in spoken dialogue systems, featuring multiple RNN-based models and datasets.
An open-source toolkit for building end-to-end trainable task-oriented dialogue models with neural networks.
A collection of pre-trained BERT, DistilBERT, ELECTRA, GPT-2, and ConvBERT models for multiple languages, including German, Italian, Turkish, and historic texts.
A TensorFlow-based neural network model for generating descriptive captions from images using Flickr30K and MSCOCO datasets.
A Python toolbox using deep belief networks for topic modeling on document data, producing latent representations for content-based recommendation.
A method for selecting interpretable feature subsets from complex models using mutual information optimization.
A Python library providing German language support for TextBlob, enabling NLP tasks like tokenization, POS tagging, and sentiment analysis.
TensorFlow implementation of hierarchical attention networks for document classification using GRU cells and attention mechanisms.
A Python package for cleaning text data for NLP tasks, including language filtering, duplicate removal, and outlier detection.
A framework for evaluating German transformer language models using syntactic agreement tests.
An Alexa skill that generates memorable code phrases using natural language processing.
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