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@VectorInstitute

Vector Institute

Welcome to Vector Institute's github!

At the Vector Institute, we are dedicated to advancing artificial intelligence (AI) research and translating cutting-edge innovations into real-world solutions. Our open-source projects reflect our commitment to collaboration, transparency, and the responsible deployment of AI technologies. Here, you’ll find tools, frameworks, and resources that empower organizations and researchers to harness the full potential of AI.

What We Build

Our open-source contributions aim to bridge the gap between theoretical research and practical application of AI. We build tools, MVPs, reference implementations and educational resources that empower researchers, developers, and organizations to innovate and solve real-world problems with AI. Our projects span various domains and are designed to be accessible, adaptable, and impactful.

Here are a few key projects that exemplify our mission:

Vector Inference

  • VectorInstitute/vector-inference is a project focused on providing efficient and streamlined LLM inference on Slurm clusters. It provides a simple command-line interface and examples for deploying LLMs using vLLM.

FL4Health

  • VectorInstitute/FL4Health is a comprehensive federated learning research framework designed to enable privacy-preserving machine learning across distributed healthcare datasets. It provides flexible implementations of federated learning algorithms, supporting researchers and practitioners in building secure, collaborative AI systems for healthcare applications.

Browse Our Implementation Catalog

Explore the Vector Implementation Catalog — a showcase of several AI implementations across topics and domains. Each implementation includes links to GitHub repositories, associated datasets, and research papers, making it easy to reproduce and build upon our work.

Why Open Source?

We believe that open-source AI tools are essential for fostering innovation and addressing global challenges. By sharing our work, we aim to:

  • Accelerate AI Adoption: Provide accessible tools that lower barriers to entry for organizations and researchers.
  • Drive Collaboration: Encourage partnerships across academia, industry, and government to solve complex problems.
  • Promote Responsible AI: Ensure that AI technologies are developed and deployed ethically, with transparency and accountability.

Get Involved

We welcome contributions from the global AI community. Whether you’re a researcher, developer, or industry professional, there are many ways to engage with our projects:

  • Explore Our Repositories: Dive into our code and documentation to understand how our tools work.
  • Contribute: Submit issues, suggest features, or submit pull requests to help improve our projects.
  • Collaborate: Partner with us on new initiatives or adapt our tools to your needs.

Connect With Us

Stay updated on our latest projects and announcements:

Together, we can unlock the transformative potential of AI and drive meaningful impact across industries and society.

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  1. vectorlm vectorlm Public

    LLM finetuning in resource-constrained environments.

    Python 58 11

Repositories

Showing 10 of 191 repositories
  • bookstack-wiki Public

    AI Engineering Bookstack Wiki

    VectorInstitute/bookstack-wiki's past year of commit activity
    HTML 0 0 0 0 Updated Sep 9, 2026
  • drac-outage-calendar Public

    Creates a subscribable calendar for scheduled DRAC outages

    VectorInstitute/drac-outage-calendar's past year of commit activity
    Python 1 0 0 0 Updated Sep 9, 2026
  • synthetic-data-bootcamp Public

    Reference Implementations for Multi-modal Synthetic Data Generation Bootcamp

    VectorInstitute/synthetic-data-bootcamp's past year of commit activity
    Jupyter Notebook 3 0 5 9 Updated Sep 9, 2026
  • odyssey Public

    An interpretable foundation model of the patient clinical timeline: event forecasting, calibrated time-to-event alerts, and concept-level interpretability, benchmarked head-to-head against tuned GBMs, tabular foundation models, and survival baselines on MIMIC-IV, eICU, and GEMINI via the MEDS standard.

    VectorInstitute/odyssey's past year of commit activity
    Python 62 Apache-2.0 15 0 0 Updated Sep 9, 2026
  • eval-agents Public

    Reference Implementations for the Agentic AI Evaluation bootcamp

    VectorInstitute/eval-agents's past year of commit activity
    Python 11 59 1 4 Updated Sep 9, 2026
  • inspect-mlflow Public

    MLflow integration for Inspect AI evals: log runs, metrics, artifacts, and traces.

    VectorInstitute/inspect-mlflow's past year of commit activity
    Python 9 Apache-2.0 0 0 1 Updated Sep 9, 2026
  • aieng-template-webpage Public template

    A simple static website using Next.js that adheres to Vector branding guidelines

    VectorInstitute/aieng-template-webpage's past year of commit activity
    TypeScript 1 Apache-2.0 0 0 0 Updated Sep 9, 2026
  • helix Public

    Autonomous research loops. Reproducible, shareable, verifiable.

    VectorInstitute/helix's past year of commit activity
    Python 21 Apache-2.0 2 2 (1 issue needs help) 0 Updated Sep 9, 2026
  • agent-bootcamp Public

    Reference Implementations for the Agentic AI bootcamp

    VectorInstitute/agent-bootcamp's past year of commit activity
    Python 26 106 3 0 Updated Sep 9, 2026
  • aieng-template-implementation Public template

    AI Engineering template repository for implementations

    VectorInstitute/aieng-template-implementation's past year of commit activity
    Jupyter Notebook 1 0 0 1 Updated Sep 9, 2026