MAST-ML
Materials research accelerator
An open-source toolkit designed to accelerate data-driven materials research by integrating machine learning and simulation techniques.
MAterials Simulation Toolkit for Machine Learning (MAST-ML)
105 stars
14 watching
61 forks
Language: Jupyter Notebook
last commit: about 2 months ago
Linked from 1 awesome list
tilde-lab/awesome-materials-informaticsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 materialsvirtuallab/maml | A toolkit for machine learning in materials science, enabling the development of predictive models and simulations. | 369 |
 uw-madison-lee-lab/cobsat | Provides a benchmarking framework and dataset for evaluating the performance of large language models in text-to-image tasks | 28 |
 zk-ml/research | Research on integrating machine learning with emergent runtimes to improve performance and security. | 22 |
 pmerienne/trident-ml | A real-time online machine learning library built on top of Storm and Trident. | 382 |
 media-smart/volksdep | A toolbox for deploying and accelerating machine learning models on various hardware platforms using TensorRT | 286 |
 gigwegbe/tinyml-papers-and-projects | A curated list of papers and projects exploring the intersection of machine learning and embedded systems, with a focus on optimizing models for resource-constrained devices. | 757 |
 google/objax | An open-source machine learning framework designed to simplify and accelerate research | 771 |
 open-mmlab/mmengine | Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,179 |
 materialsproject/matbench | Provides tools and resources for testing machine learning performance on materials science data | 122 |
 unslothai/hyperlearn | An optimized machine learning framework for improved performance and reduced memory usage on various hardware configurations. | 1,850 |
 maspwr/rtimbl | A Ruby interface to a machine-learning library written in C++ | 5 |
 asappresearch/flambe | An ML framework for accelerating research and its integration into production workflows | 262 |
 hackingmaterials/matminer | A toolkit for extracting insights from materials science data using machine learning and data mining techniques. | 484 |
 bamresearch/webslamd | An AI-powered web application designed to facilitate materials discovery and optimization in sustainable concrete and binder formulations | 21 |
 trekhleb/machine-learning-experiments | An interactive platform for exploring and comparing various machine learning algorithms and techniques using visualizations and example code. | 1,654 |