XenonPy
github.com/yoshida-lab/xenonpyLibrary with several compositional and structural material descriptors, along with a few pre-trained neural network models of material properties.
Sourced from
- GitHub — github.com/yoshida-lab/xenonpy
- Awesome Python Chemistry — github.com/yoshida-lab/xenonpy
Related resources
Foundation model for tabular data that predicts on unseen real-world tables in a single forward pass, achieving accurate small-data classification and regression without task-specific training; widely applicable to scientific datasets with limited samples (7.4K+ stars, 2022-2026)
Deep learning library for Chemistry based on Tensorflow
Programmatic data labeling and weak supervision
Pretrained time series foundation model for zero-shot forecasting across diverse scientific and real-world domains; tokenizes continuous time series into discrete bins to train transformer language models on large-scale corpora, achieving strong zero-shot generalization and competitive performance with task-specific supervised models on climate, energy, and health benchmarks (5.3K+ stars, Apache 2.0, 2024-2026)
Machine learning software for extracting structured metadata from scholarly documents