deepmodeling / build-your-agentLinks
An open project initiated by the DeepModeling community focused on constructing intelligent agents for scientific research. It is committed to assembling a reusable and extensible set of Agent-Ready tools, promoting the development and practical deployment of research agents through open collaboration.
☆31Updated 2 months ago
Alternatives and similar repositories for build-your-agent
Users that are interested in build-your-agent are comparing it to the libraries listed below
Sorting:
- Collecting a variety of Agent-Ready tool modules☆64Updated 2 weeks ago
- Dflow is a Python framework for constructing scientific computing workflows (e.g. concurrent learning workflows) employing Argo Workflows…☆73Updated 2 weeks ago
- Code and data used to create and evaluate LLM4Mat-Bench☆20Updated 11 months ago
- A repository for the LLM-Prop implementation☆49Updated last year
- Predict and Inverse design for metal-organic framework with large-language models (llms)☆94Updated 4 months ago
- KGFM☆35Updated 6 months ago
- An electronic structure package based on either plane wave basis or numerical atomic orbitals.☆215Updated this week
- A Platform for Laboratory Automation.☆87Updated last week
- Computational Materials Science(Book)☆102Updated 9 months ago
- Open-sourced dialogue foundation model for Chemistry and molecule science☆87Updated 5 months ago
- GPTFF allowing anyone to directly download and run the AI model in an out-of-the-box manner☆63Updated 6 months ago
- Web-Scarping tool for downloading the content of the following publishers: Elsevier, RSC, Web of Science, Springer Nature , Wiley.☆29Updated 3 months ago
- DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules☆24Updated 9 months ago
- An E(3) equivariant Graph Neural Network for predicting electronic Hamiltonian matrix☆123Updated this week
- MatDesign: a programming-free AI platform to predict and design materials☆74Updated 2 months ago
- AI for crystal materials☆85Updated 2 weeks ago
- ABACUS开源软件的中文用户文档☆34Updated this week
- BAMBOO (Bytedance AI Molecular BOOster) is an AI-driven machine learning force field designed for precise and efficient electrolyte simu…☆125Updated 5 months ago
- Space Group Informed Transformer for Crystalline Materials Generation☆118Updated 2 months ago
- MCP tools to connect LLMs and ABACUS jobs☆16Updated last week
- Repository for links to software packages and databases used in deep-learning applications for materials science☆148Updated 5 months ago
- ☆16Updated last year
- A Large Language Model of the CIF format for Crystal Structure Generation☆128Updated last week
- DeepModeling community content☆89Updated 4 months ago
- a package for developing machine learning-based chemically accurate energy and density functional models☆113Updated 5 months ago
- A Python package for manipulating atomistic data of software in computational science☆220Updated this week
- XMU Chenglab Wiki☆93Updated 3 months ago
- SciAssess is a comprehensive benchmark for evaluating Large Language Models' proficiency in scientific literature analysis across various…☆80Updated 4 months ago
- ☆21Updated 2 years ago
- Deep neural networks for density functional theory Hamiltonian.☆297Updated last year