A curated list of deep learning applications in computational biology, covering neural networks, machine learning models, and AI tools for biological and medical research.

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.

Awesome resources on normalizing flows, a family of powerful generative models for density estimation and generation. Includes research papers, implementations, and applications across various domains.

Papers about developing deep Graph Neural Networks, addressing challenges like oversmoothing and enabling deeper architectures for improved performance.

A curated list of awesome Deep Learning for Natural Language Processing resources, focusing on neural network architectures and deep learning techniques for text processing.