sgbaird / honegumiLinks
Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.
☆54Updated this week
Alternatives and similar repositories for honegumi
Users that are interested in honegumi are comparing it to the libraries listed below
Sorting:
- A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.☆44Updated 10 months ago
- Microcourses hosted by the Acceleration Consortium for self-driving lab topics.☆30Updated 2 weeks ago
- hierachical automation of the natural sciences☆20Updated 4 months ago
- AlabOS: Managing the workflows in the Autonomous lab☆44Updated last week
- train and use graph-based ML models of potential energy surfaces☆97Updated this week
- A text-guided diffusion model for crystal structure generation☆61Updated 3 weeks ago
- Codebase to drive the Perovskite Automated Spin Coat Assembly Line (PASCAL) in the Fenning research group.☆16Updated this week
- Encode/decode a crystal structure to/from a grayscale PNG image for direct use with image-based machine learning models such as Palette.☆37Updated last year
- Generative materials benchmarking metrics, inspired by guacamol and CDVAE.☆40Updated last year
- ZeoSyn: A Comprehensive Zeolite Synthesis Dataset Enabling Machine-learning Rationalization of Hydrothermal Parameters (ACS Central Scien…☆26Updated 8 months ago
- 3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)☆41Updated 2 years ago
- Active Learning for Machine Learning Potentials☆55Updated last year
- ☆40Updated last year
- ☆57Updated 2 years ago
- Collection of tutorials to use the MACE machine learning force field.☆47Updated 9 months ago
- ☆18Updated last year
- A unified platform for fine-tuning atomistic foundation models in chemistry and materials science☆46Updated 2 weeks ago
- ☆14Updated 5 months ago
- ☆32Updated 4 years ago
- The Wren sits on its Roost in the Aviary.☆56Updated 2 months ago
- Python library for the construction of porous materials using topology and building blocks.☆68Updated 3 weeks ago
- Code Repository for "Direct prediction of phonon density of states with Euclidean neural network"☆27Updated 3 years ago
- FTCP code☆34Updated last year
- The summer training course on the Bayesian Optimization☆27Updated last year
- Machine-Learned Interatomic Potential eXploration (mlipx) is designed at BASF for evaluating machine-learned interatomic potentials (MLIP…☆87Updated this week
- Strategies for the Construction of Neural-Network Based Machine-Learning Potentials (MLPs)☆28Updated 4 years ago
- open data sets for machine learning pertaining to porous materials☆27Updated last year
- MACE-OFF23 models☆37Updated 4 months ago
- The architector python package - for 3D metal complex design. C22085☆58Updated last week
- Software for evaluating pareto-optimal synthesis pathways☆25Updated last year