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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 TensorFlow implementation of QANet for machine reading comprehension on the SQuAD dataset.
Visually build full-featured chatbots for Telegram, Facebook Messenger, Viber, Twilio, and Slack using Node-RED with minimal coding.
A pretrained modeling library for Keras 3 offering simple, flexible, and fast access to models for text, image, and audio tasks.
A flexible Python framework for developing, training, and evaluating conversational AI agents in single or multi-agent environments.
A Recurrent Neural Network library for Torch7's nn, providing RNN, LSTM, GRU, and other sequence modeling modules.
A curated list of open-source and commercial tools for labeling and managing datasets across images, audio, time series, and text.
A Python natural language processing library for pre-modern languages like Latin, Ancient Greek, and Sanskrit.
Generate datasets for AI chatbots, NLP tasks, NER, and text classification using a simple domain-specific language.
An open-source suite featuring financial large language models (FinMA), instruction datasets (FIT), and evaluation benchmarks (FinBen) for financial AI.
Catalyst is a high-performance C# NLP library inspired by spaCy, offering pre-trained models, entity recognition, and embedding training.
A minimal 200-line implementation of a sequence-to-sequence chatbot using TensorLayer and TensorFlow.
A Java API for Natural Language Generation that handles morphological realization, text generation, and basic aggregation.
A no-code natural language generation platform that transforms structured data into varied textual descriptions.
TensorFlow implementation of character-aware neural language models using CNN, highway networks, and LSTM.
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 Python tool that uses GPT-3.5 to read, summarize, and answer questions about academic PDF papers locally.
A pre-trained BERT model designed for DNA sequence analysis, enabling genome understanding tasks like classification and motif discovery.
A modern C++ toolkit for text retrieval and analysis, featuring indexing, ranking, topic modeling, classification, and language models.
A natural language detection library for Go that identifies 84 languages and scripts with no external dependencies.
A fast, robust Python library to detect offensive language in text using a machine learning model.
A cookiecutter template for deploying spaCy NLP models as FastAPI services compatible with Azure Search Custom Skills.
Generate Word2Vec vectors for DBpedia entities from Wikipedia dumps, linking words and topics to structured knowledge.
A comprehensive Go library for string comparison and edit distance algorithms, including Levenshtein, LCS, Hamming, Jaro-Winkler, and Cosine similarity.
TensorFlow implementation of R-Net for machine reading comprehension on the SQuAD dataset.
A curated list of open-access resources and tools for Natural Language Processing (NLP) focused on the German language.
A Go library implementing word embedding models (Word2Vec, GloVe, LexVec) from scratch with CLI and SDK.
A Python library for translating between 200 languages using Hugging Face transformer models like mBART-50, m2m100, and NLLB-200.
A curated list of resources dedicated to Natural Language Generation (NLG), including datasets, libraries, tools, and research.
A curated list of resources dedicated to Natural Language Generation (NLG), including datasets, libraries, tools, and research.
A comprehensive suite of Java NLP libraries and tools for text annotation, feature extraction, and language processing tasks.
An AI system that incrementally generates scientific paper drafts by predicting links between concepts and generating text sections.
A Go library implementing selected machine learning algorithms for natural language processing and semantic analysis.
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