Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Cgcnn | 262 | 3 years ago | 9 | mit | Python | |||||
Crystal graph convolutional neural networks for predicting material properties. | ||||||||||
Storytelling With Data | 97 | 3 months ago | 1 | mit | Jupyter Notebook | |||||
Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09). | ||||||||||
Amazon Asdi | 75 | 5 months ago | 2 | apache-2.0 | Jupyter Notebook | |||||
Docs and supporting material for the Amazon Sustainability Data Initiative. | ||||||||||
Foundry | 71 | 2 | 3 months ago | 29 | November 13, 2023 | 92 | mit | Python | ||
Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry | ||||||||||
Text Mined Synthesis_public | 52 | 7 months ago | 2 | Python | ||||||
Codes for text-mined solid-state reactions dataset | ||||||||||
Gatgnn | 51 | 2 years ago | 2 | mit | Python | |||||
Pytorch Repository for our work: Graph convolutional neural networks with global attention for improved materials property prediction | ||||||||||
Smiles X | 38 | a year ago | 1 | mit | Jupyter Notebook | |||||
Autonomous characterization of molecular compounds from small datasets without descriptors | ||||||||||
Pythonworkshops | 29 | a year ago | CSS | |||||||
Materials for Python workshops | ||||||||||
Iccv2019 Triplet Loss | 23 | 4 years ago | agpl-3.0 | Jupyter Notebook | ||||||
Implementation of method described in http://openaccess.thecvf.com/content_ICCV_2019/papers/Le_Cacheux_Modeling_Inter_and_Intra-Class_Relations_in_the_Triplet_Loss_for_ICCV_2019_paper.pdf | ||||||||||
Mt Cgcnn | 21 | 4 years ago | other | Python | ||||||
NeurIPS 2018 MLMM Workshop: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction |