☆55Jul 1, 2026Updated 2 months ago
Alternatives and similar repositories for matextract-book
Users that are interested in matextract-book are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SECS is a machine learning framework designed for structure elucidation from spectra such as NMR, IR and MS.☆35Aug 26, 2026Updated 3 weeks ago
- ☆25Jan 22, 2025Updated last year
- Probing the limitations of multimodal language models for chemistry and materials research☆25Feb 1, 2026Updated 7 months ago
- ChemPile project☆19Jul 31, 2025Updated last year
- Machine learning exercises for the MolSim course (http://www.acmm.nl/molsim/molsim2023/index.html)☆29Jan 16, 2024Updated 2 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.
- BERTOS: transformer for oxidation state prediction☆16Aug 21, 2026Updated 3 weeks ago
- [EMNLP '25] A web app and Python API for multi-modal RAG framework to ground LLMs on high-fidelity materials informatics. An agentic mate…☆100Nov 11, 2025Updated 10 months ago
- An example repository for creating a nomad distribution with custom plugins.☆14Updated this week
- MatID is a Python package for identifying and analyzing atomistic systems based on their structure.☆14Jul 6, 2026Updated 2 months ago
- Online resource for a practical course in machine learning for materials research at Imperial College London (MATE70026)☆161Feb 7, 2026Updated 7 months ago
- Library for Crystal Symmetry in Rust☆81Updated this week
- a curated list of resources for everyone interested in learning about digital chemistry☆50Jan 25, 2026Updated 7 months ago
- An overview over chemical datasets and where to find them☆17Aug 29, 2023Updated 3 years ago
- A NOMAD plugin containing base sections for material processing.☆12Sep 8, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- An ASE-friendly implementation of the amorphous-to-crystalline (a2c) workflow.☆18Oct 19, 2025Updated 11 months ago
- Code for Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models☆13Feb 19, 2025Updated last year
- ASE framework for Monte Carlo simulations with machine learned interatomic potentials☆28Jul 15, 2026Updated 2 months ago
- Some tutorial-style examples for validating machine-learned interatomic potentials☆35Dec 4, 2023Updated 2 years ago
- Frontend for evaluating humans on chemistry questions☆11Sep 1, 2024Updated 2 years ago
- Adds Orb Model functionality to LAMMPS via Python wrapping☆15Apr 1, 2025Updated last year
- Create new MOFs by combining generative AI and simulation on HPC☆30May 30, 2026Updated 3 months ago
- PolyMetriX is a comprehensive Python library that powers the entire machine learning workflow for polymer informatics.☆50Jul 15, 2026Updated 2 months ago
- How good are LLMs at chemistry?☆147Jan 26, 2026Updated 7 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆24Nov 24, 2024Updated last year
- Text-based modeling of materials.☆38Aug 14, 2026Updated last month
- RunAI&KG prize winner of the 2024 LLM hackathon in materials and chemistry. Create a glossary out of your manuscript in materials and che…☆12Aug 15, 2025Updated last year
- train and use graph-based ML models of potential energy surfaces☆131Updated this week
- Tutorial exercises for the OPTIMADE API☆17Sep 27, 2023Updated 2 years ago
- Automated analysis of LCMS data for high throughput chemistry experiments☆30Aug 4, 2026Updated last month
- 🌟 [NeurIPS '25 Spotlight] Fair and transparent benchmark of machine learning interatomic potentials (MLIPs), beyond basic error metrics …☆109Jul 2, 2026Updated 2 months ago
- Things that you should (and should not) do in your Materials Informatics research.