Showing 1-17 of 17 projects
BERT - Pre-trained NLP models and TensorFlow code for natural language understanding
Fast, state-of-the-art tokenizers optimized for research and production in AI/ML applications
A comprehensive collection of best practices and examples for natural language processing (NLP) using Python.
An open-source framework for prompt-learning, a powerful technique for fine-tuning language models.
An easy-to-use natural language processing library built on the Gluon deep learning framework.
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
A powerful BERT-based language model for natural language understanding and representation learning.
SLING is a natural language frame semantics parser written in C++ that can be used for machine learning and natural language processing.
A Python library for working with large language models (LLMs) like GPT-3 and Anthropic's models.
This repository provides implementations of different architectures for emotion recognition in conversations.
Code and examples from a book on practical natural language processing using Python and Jupyter Notebooks.
Use pre-trained transformer models like BERT, GPT-2, and XLNet in the spaCy NLP library.
A neural network model for detecting different emotions from audio speeches using Python and deep learning.
A curated list of resources on large language model-based text-to-SQL for developer productivity and database access.
A comprehensive collection of Transformer models for natural language processing tasks
An open-source corpus dataset for chatbots and question-answering systems in the insurance domain.
A Python project that generates realistic-sounding text using a pre-trained GPT-2 model, useful for AI coding tools and language generation.
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