Twin-deep neural network for semi-supervised learning of materials properties
☆12Feb 1, 2023Updated 3 years ago
Alternatives and similar repositories for tsdnn
Users that are interested in tsdnn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆35Feb 17, 2022Updated 4 years ago
- Design of metal-organic frameworks using deep dreaming approaches☆20Dec 2, 2025Updated 4 months ago
- Licensed under Academic Non-Commercial Share-Alike License☆19Sep 3, 2025Updated 7 months ago
- Brent's code for FTIR deconvolution☆12Dec 17, 2020Updated 5 years ago
- A python package for spectral deconvolution of UV-Vis waveforms☆14Jul 1, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Codes and models for "Semi-supervised machine-learning classification of materials synthesis procedures". (https://doi.org/10.1038/s41524…☆10Apr 24, 2022Updated 3 years ago
- ☆12Mar 12, 2023Updated 3 years ago
- A synthesis planning algorithm designed by Jiadong Chen, Wenhao Sun, in University of Michigan.☆22Aug 27, 2024Updated last year
- ☆38Nov 16, 2023Updated 2 years ago
- ☆22Nov 18, 2023Updated 2 years ago
- Public code base for the Accelerated Molecular Discovery (AMD) platform☆11Nov 17, 2023Updated 2 years ago
- An LLM system for the ultra-accurate (TPR=98.8%) prediction of the synthesizability and precursors of crystal structures☆41Mar 13, 2025Updated last year
- Code for Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models☆12Feb 19, 2025Updated last year
- Python Package for electrochemical analysis☆26Apr 28, 2025Updated 11 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Software for evaluating pareto-optimal synthesis pathways☆24Jun 10, 2024Updated last year
- pywindow is a Python package for structural analysis of discrete molecules with voids and windows, individually, in molecular systems and…☆25Sep 29, 2025Updated 6 months ago
- A toolkit for querying data in OQMD.☆23Jan 2, 2022Updated 4 years ago
- ☆22Aug 31, 2020Updated 5 years ago
- Self-driving laboratory for accelerated discovery of thin-film materials - data repository☆23Dec 22, 2025Updated 3 months ago
- "Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures", Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Je…☆36Nov 7, 2019Updated 6 years ago
- REICO-unbiased random sampling to generate diverse datasets encompassing a wide range of atomic configurations and bonding scenarios. EML…☆25Feb 14, 2025Updated last year
- ☆12Jan 16, 2024Updated 2 years ago
- Solid-state synthesis science analyzer. Thermo, features, ML, and more.☆26Sep 1, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- BERTOS: transformer for oxidation state prediction☆15Apr 18, 2025Updated 11 months ago
- A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)☆14May 19, 2021Updated 4 years ago
- ☆24Jul 27, 2022Updated 3 years ago
- Tools to facilitate NLP of scientific literature☆18Nov 29, 2021Updated 4 years ago
- Using a Raspberry Pi micro-computer as a DVR to record free over the air HD channels.☆10Jan 31, 2026Updated 2 months ago
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆32Aug 18, 2021Updated 4 years ago
- ☆26Nov 12, 2023Updated 2 years ago
- DiffSyn: A Generative Diffusion Approach to Materials Synthesis Planning (Nature Computational Science, 2026)☆38Feb 10, 2026Updated 2 months ago
- ☆14Apr 15, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆19Jun 29, 2017Updated 8 years ago
- This code shows how to train a model in Amazon SageMaker using a custom loss function for a binary classification problem in which the co…☆13Feb 21, 2019Updated 7 years ago
- A julia package for the manipulation of crystal net representations and topology☆56Apr 2, 2026Updated 2 weeks ago
- The largest KG for material science☆29Nov 14, 2024Updated last year
- A python package to deconstruct MOFs into building units, compute porosity, remove unbound guests and compute cheminfomatic data of build…☆24Apr 9, 2026Updated last week
- data and code to reduplicate paper: Topological representations of crystalline compounds for the machine-learning prediction of materials…☆22Jan 21, 2021Updated 5 years ago
- Public release of data and code for materials synthesis generation☆75Aug 11, 2022Updated 3 years ago