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Projects sharing features with Julialang.github.com

20 open-source projects similar to julialang/julialang.github.com, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.

  • dbt-labs/docs.getdbt.comdbt-labs avatar

    dbt-labs/docs.getdbt.com

    199View on GitHub↗

    We use docusaurus to power docs.getdbt.com.

    JavaScript
    View on GitHub↗199
  • deepmodeling/deepmodeling-projectsdeepmodeling avatar

    deepmodeling/deepmodeling-projects

    8View on GitHub↗

    deepmodeling-projects

    View on GitHub↗8
  • deepmodeling/openlamdeepmodeling avatar

    deepmodeling/openlam

    23View on GitHub↗

    After cloning this project, install lam-crystal-philately with common dependencies (including requirements for workflows) by ` pip install . To install additional dependencies for DP pip install ".dp" or mace pip install ".mace" `

    Python
    View on GitHub↗23
  • divelab/airsdivelab avatar

    divelab/AIRS

    780View on GitHub↗

    license-image:https://img.shields.io/badge/license-GPL3.0-green.svg license-url:https://github.com/divelab/AIRS/blob/main/LICENSE contributing-image:https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat

    Jupyter Notebook
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  • eipgen/neural-network-models-for-chemistryEipgen avatar

    Eipgen/Neural-Network-Models-for-Chemistry

    196View on GitHub↗

    A collection of Neural Network Models for chemistry - Quantum Chemistry Method - Force Field Method - Kernel Methods - Not based on Graph Models - Graph Domain Models - Transformer Domain Models - Universal models - Empirical force field - Semi-Empirical Method - Coarse-Grained Method - Enhanced…

    View on GitHub↗196

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  • garden-ai/gardenGarden-AI avatar

    Garden-AI/garden

    41View on GitHub↗

    Easy Model Publishing: Publish pre-trained AI/ML models from a notebook with just a few commands - Reproducible Environments: Use containers to ensure consistent execution across different systems - Remote Execution: Run your models (or others) remotely on HPC resources seamlessly - Discoverable…

    Python
    View on GitHub↗41
  • gt4sd/gt4sd-coreGT4SD avatar

    GT4SD/gt4sd-core

    376View on GitHub↗

    The GT4SD (Generative Toolkit for Scientific Discovery) is an open-source platform to accelerate hypothesis generation in the scientific discovery process. It provides a library for making state-of-the-art generative AI models easier to use.

    Jupyter Notebook
    View on GitHub↗376
  • janosh/matbench-discoveryjanosh avatar

    janosh/matbench-discovery

    237View on GitHub↗

    Matbench Discovery

    Python
    View on GitHub↗237
  • lukasmasuch/best-of-ml-pythonlukasmasuch avatar

    lukasmasuch/best-of-ml-python

    23,236View on GitHub↗

    This project serves as a comprehensive, community-driven directory of high-quality open-source Python libraries and tools for machine learning, data science, and artificial intelligence. It functions as a centralized resource for developers to discover, evaluate, and track the maintenance status of software packages across the entire machine learning ecosystem. The platform distinguishes itself through automated popularity tracking and data-driven content curation, which programmatically validate and rank projects based on community activity and development velocity. By organizing these tools

    automlchatgptdata-analysis
    View on GitHub↗23,236
  • naganandy/graph-based-deep-learning-literaturenaganandy avatar

    naganandy/graph-based-deep-learning-literature

    5,073View on GitHub↗

    links to conference publications in graph-based deep learning

    Jupyter Notebookconference-publicationsdeep-learninggraph
    View on GitHub↗5,073
  • neurreps/awesome-neural-geometryneurreps avatar

    neurreps/awesome-neural-geometry

    1,067View on GitHub↗

    A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

    awesome-listdeep-learningdifferential-geometry
    View on GitHub↗1,067
  • open-telemetry/communityopen-telemetry avatar

    open-telemetry/community

    1,068View on GitHub↗

    OpenTelemetry community content

    Pythoncncfcommunityopentelemetry
    View on GitHub↗1,068
  • openml/openmlopenml avatar

    openml/OpenML

    744View on GitHub↗

    OpenML: Open Machine Learning Welcome to the OpenML GitHub page! :tada:

    PHP
    View on GitHub↗744
  • ossu/code-of-conductossu avatar

    ossu/code-of-conduct

    747View on GitHub↗

    :v: OSSU's Code of Conduct

    View on GitHub↗747
  • ossu/forumO

    ossu/forum

    0View on GitHub↗
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  • sedaoturak/data-resources-for-materials-sciencesedaoturak avatar

    sedaoturak/data-resources-for-materials-science

    445View on GitHub↗

    This collection includes the list of online and offline resources of physical, chemical, mechanical and all other properties of materials.

    View on GitHub↗445
  • testanything/specificationTestAnything avatar

    TestAnything/Specification

    101View on GitHub↗

    Specification

    View on GitHub↗101
  • tilde-lab/awesome-materials-informaticstilde-lab avatar

    tilde-lab/awesome-materials-informatics

    518View on GitHub↗

    The novel discipline of materials informatics is a junction of materials, computer, and data sciences. It aims to unite the nowadays competing physics- and data-intensive efforts for the most impactful applied science, that transformed our society in the 20th century.

    View on GitHub↗518
  • tilde-lab/optimade.sciencetilde-lab avatar

    tilde-lab/optimade.science

    10View on GitHub↗

    OPTIMADE dot Science

    Svelte
    View on GitHub↗10
  • visenger/awesome-mlopsvisenger avatar

    visenger/awesome-mlops

    13,942View on GitHub↗

    An awesome list of references for MLOps - Machine Learning Operations :pointright: ml-ops.org*

    View on GitHub↗13,942