Reverse Dependencies of matminer

The following projects have a declared dependency on matminer:

• amdnet — Structure motif-centric learning framework for inorganic crystalline systems.
• autocat — Tools for automated generation of catalyst structures and sequential learning
• automatminer — automated machine learning for materials science
• CAMD — camd is software designed to support autonomous materials research and sequential learning
• CoREMOF-tools — Python API for CoRE MOF 2024 DB
• elastool — Elastic tool for zero and finite-temperature elastic constants and mechanical properties calculations
• emmet — Emmet is a builder framework for the Materials Project
• emmet-builders — Builders for the Emmet Library
• gridrdf — Grouped representation of interatomic distances
• LEAFeatures — Local Enviroment-induced Atomic Features (LEAF)
• mastml — MAterials Simulation Toolkit - Machine Learning
• mat_discover — Data-driven materials discovery based on composition or structure.
• matbench-genmetrics — Generative materials benchmarking metrics, inspired by CDVAE.
• matdb — Welcome to MatDB, a material science database designed to be light weight and portable.
• matgraphdb — Welcome to MatGraphDB, a powerful Python package designed to interface with primary and graph databases for advanced material analysis.
• mlrap — Machine Learning Regression Analyse Packages
• mofdscribe — Ecosystem for digital reticular chemistry
• mofpy — Python package to handle MOF structures and perform various analysis.
• mp-time-split — Use Materials Project time-splits for generative modeling benchmarking.
• oximachine-featurizer — Mine MOF oxidation states and featurize metal sites.
• piro — piro is software designed to assist in planning of synthesis pathways for inorganics
• pumml — Positive and Unlabeled Materials Machine Learning (pumml) is a code that uses semi-supervised positive and unlabeled (PU) machine learning to classify materials when data is incomplete and only examples of 'positive' materials are available.
• pyhrmc — A Python implementation of Hybrid Reverse Monte Carlo for electron scattering of thin films
• pyhrmc-dev — A Python implementation of Hybrid Reverse Monte Carlo for electron scattering of thin films
• pymatviz — A toolkit for visualizations in materials informatics
• robocrys — Automatic generation of crystal structure descriptions
• simmate — Simmate is a toolbox for computational materials research.
• SMACT — Semiconducting Materials by Analogy and Chemical Theory
• smatool — "SMATool - Automated toolkit for computing zero and finite-temperature strength of materials",
• smlb — Scientific Machine Learning Benchmark
• thick2d — "THICK-2D -- Thickness Hierarchy Inference & Calculation Kit for 2D materials",
• unlockNN — Uncertainty quantification for neural network models of chemical systems.
• xtal2txt — Package to encode and decode crystal structures into text representations