Natural Language Processing
Showing 36 of 392 projects
A method to steer topic and attributes of GPT-2 language models without fine-tuning, enabling controlled text generation.
An open-source study on neural question generation using transformers, providing simplified training and inference pipelines.
A Rust library for natural language detection using trigram models, focusing on simplicity and performance.
A curated list of awesome resources, libraries, and tools for natural language processing (NLP) in Ruby.
A curated list of awesome resources, libraries, and tools for natural language processing (NLP) in Ruby.
A GPT-2 variant that generates plausible fake words, definitions, and usage examples from scratch.
A pretrained modeling library for Keras 3 offering simple, flexible, and fast access to models for text, image, and audio tasks.
A TensorFlow implementation of QANet for machine reading comprehension on the SQuAD dataset.
A Python natural language processing library for pre-modern languages like Latin, Ancient Greek, and Sanskrit.
A collaboratively maintained, reverse-chronological list of datasets and corpora for natural language processing tasks.
TensorFlow implementation of an attention-based neural image caption generator that focuses on relevant image parts while generating words.
An open-source suite featuring financial large language models (FinMA), instruction datasets (FIT), and evaluation benchmarks (FinBen) for financial AI.
An R package for the quantitative analysis of textual data, providing comprehensive tools for natural language processing and text management.
An efficient R package for text analysis and NLP with fast vectorization, topic modeling, and word embeddings.
An open-source Python framework for building chat-ops bots that connect chat services, natural language APIs, and third-party services.
Swift SDK for integrating IBM Watson AI services like speech, language, and assistant into iOS and Linux applications.
An AI-powered terminal assistant that uses OpenAI ChatGPT to generate and run commands from natural language descriptions.
Catalyst is a high-performance C# NLP library inspired by spaCy, offering pre-trained models, entity recognition, and embedding training.
A JupyterLab extension that integrates GPT-4 as a code interpreter, translating natural language to Python and executing it automatically.
A Go library for naive Bayesian classification and TF-IDF calculations on string sets.
A Ruby gem for calculating text similarity using tf*idf and BM25 vector space models.
A pre-trained BERT model designed for DNA sequence analysis, enabling genome understanding tasks like classification and motif discovery.
Pre-trained BERT models fine-tuned on clinical text from MIMIC for medical natural language processing tasks.
A curated list of resources for Question Answering (QA), covering machine learning, deep learning, datasets, and research.
A tool for automatically annotating mentions of DBpedia resources in text, linking entities to their global identifiers.
A Ruby library for text classification with Bayesian, LSI, logistic regression, k-NN, and TF-IDF algorithms.
A framework for building AI agents that run in the browser, with support for Angular and React.
A modern C++ toolkit for text retrieval and analysis, featuring indexing, ranking, topic modeling, classification, and language models.
Pre-trained biomedical language representation model for biomedical text mining tasks like named entity recognition and relation extraction.
A natural language detection library for Go that identifies 84 languages and scripts with no external dependencies.
A fast, open-source platform for topic modeling using Additive Regularization of Topic Models (ARTM).
A curated list of awesome Torch tutorials, projects, libraries, and communities for deep learning.
A curated list of deep learning resources for video-text retrieval, including papers, implementations, and datasets.
A cookiecutter template for deploying spaCy NLP models as FastAPI services compatible with Azure Search Custom Skills.
A Python wrapper and JSON-RPC server for Stanford CoreNLP, providing NLP tools like parsing, tagging, and coreference resolution.
A .NET wrapper for Stanford CoreNLP providing natural language processing capabilities including tokenization, parsing, and named entity recognition.
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