Qchem

Maintained by icanswim and updated in late 2025, this repository provides datasets and models for applying data science techniques to quantum chemistry. It integrates molecular informatics tools with deep learning frameworks to facilitate the study of quantum mechanical properties.

Use Cases

• Training PyTorch neural networks for molecular property prediction
• Generating chemical descriptors using RDKit features
• Benchmarking quantum chemistry models against molecular datasets

Strengths

• Released under a permissive MIT license
• Includes RDKit integration for molecular descriptor generation
• Optimized for PyTorch-based deep learning workflows

Limitations

• Lack of documented record counts or specific column schemas in the metadata
• Undefined provenance for the underlying quantum chemical calculations

Provenance

Source

GitHub repository by icanswim

Freshness

The repository was last updated in December 2025.