awesome-small-molecule-ml and awesome-ml-for-biochemistry
These are ecosystem siblings serving complementary scopes within computational chemistry—one curates resources specifically for small-molecule drug discovery ML workflows, while the other provides a broader collection spanning biochemistry and molecular sciences applications, making them reference materials that often point to overlapping but non-redundant tools and libraries.
About awesome-small-molecule-ml
benb111/awesome-small-molecule-ml
A curated list of resources for machine learning for small-molecule drug discovery
This is a curated collection of resources for scientists and researchers in drug discovery, specifically focused on small molecules. It compiles research papers, datasets, software tools, and blogs to help you leverage machine learning techniques. It serves as a starting point for anyone looking to apply advanced computational methods to accelerate the discovery of new drug candidates.
About awesome-ml-for-biochemistry
m2d2-labs/awesome-ml-for-biochemistry
Community-curated resources for research at the intersection of AI and molecular sciences
This resource helps biochemists, medicinal chemists, and drug discovery scientists navigate the rapidly evolving field of machine learning for molecular sciences. It offers curated lists of learning materials, high-impact research, useful software libraries, and high-quality datasets. The goal is to provide a structured entry point and ongoing reference for integrating AI into biochemical research.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work