resnant
Researcher of AI for materials & materials informatics. Catalyzing scientific discovery using machine learning and automated experiments.
Tokyo, Japan
Pinned Repositories
BBO-Rietveld
Automated crystal structure analysis based on blackbox optimisation
materials-concept-learning
awesome-materials-informatics-research
dmol-book-japanese
Japanese translation of "Deep learning for molecules and materials book"
llm4mat-tutorial
Hands-on materials for DxMT AIMHack 2024
XAS-similarity-script
supplementary material
resnant's Repositories
resnant/dmol-book-japanese
Japanese translation of "Deep learning for molecules and materials book"
resnant/llm4mat-tutorial
Hands-on materials for DxMT AIMHack 2024
resnant/XAS-similarity-script
supplementary material
resnant/awesome-materials-informatics-research
resnant/atomistic-simulation-tutorial
Atomistic simulation hands on tutorial on open neural network potentials
resnant/cgcnn
Crystal graph convolutional neural networks for predicting material properties.
resnant/crystalview
resnant/deep-learning-from-scratch-4
resnant/Dreambooth-SD-optimized
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
resnant/dtreeviz
A python library for decision tree visualization and model interpretation.
resnant/ENGE2018
resnant/Generative-Deep-Learning-Code-in-Pytorch
The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch
resnant/idea2img-optimizer
Optimize image generation prompts through human-in-the-loop black-box optimization, turning abstract ideas into concrete visuals.
resnant/interpretable-ml-book
Book about interpretable machine learning
resnant/Keras-GAN
Keras implementations of Generative Adversarial Networks.
resnant/matgl
Graph deep learning library for materials
resnant/optuna
A hyperparameter optimization framework
resnant/optunahub-registry
A registry of third-party Optuna packages
resnant/pymatgen
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.
resnant/resnant.github.io
resnant/rookies_exercise
resnant/XRM2018
additional materials for XRM2018