An Awesome directory of resources and tools for natural language generation, including data-to-text, conversational agents, and narrative generation.

Study notes and a curated list of awesome resources for Artificial Intelligence, Machine Learning and Deep Learning including frameworks, tutorials, research papers, and educational materials.

A comprehensive curated list covering all machine learning topics including learning paradigms, tasks, applications, models, ethics, cross-disciplinary areas, datasets, frameworks, and tutorials.

A curated list of awesome open source libraries to deploy, monitor, version, and scale machine learning systems in production. Focuses on MLOps, model serving, and production-ready ML tools.

A curated list of open source and commercial feature store tools and platforms for machine learning, including Feast, Hopsworks, and Tecton, enabling consistent feature management across training and serving for production ML systems.

A comprehensive reading list on LLM-based synthetic data generation, covering the latest research papers, techniques, and methodologies for using large language models to create high-quality training data for various NLP tasks and model fine-tuning.