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@VectorInstitute

Vector Institute

README.md

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 54 11

Repositories

Showing 10 of 152 repositories
  • automated_capability_evaluation Public

    A repository for research project on generating LLM evaluation benchmarks using LLMs

    VectorInstitute/automated_capability_evaluation’s past year of commit activity
    Python 4 Apache-2.0 1 0 8 Updated Dec 4, 2025
  • FL4Health Public

    A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings

    VectorInstitute/FL4Health’s past year of commit activity
    Python 49 Apache-2.0 15 0 5 Updated Dec 4, 2025
  • midst-toolkit Public

    A toolkit for facilitating MIA resiliency testing on diffusion-model-based synthetic tabular data.

    VectorInstitute/midst-toolkit’s past year of commit activity
    Python 5 MIT 1 0 1 Updated Dec 4, 2025
  • implementation-catalog Public

    A catalog of implementations authored by the Vector Institute.

    VectorInstitute/implementation-catalog’s past year of commit activity
    TypeScript 8 3 0 0 Updated Dec 4, 2025
  • health-rec Public

    MVP of a recommendation system for health and community services

    VectorInstitute/health-rec’s past year of commit activity
    Python 9 Apache-2.0 1 5 3 Updated Dec 4, 2025
  • gaca-early-warning Public

    High-resolution temperature forecasting system

    VectorInstitute/gaca-early-warning’s past year of commit activity
    Python 0 Apache-2.0 0 0 0 Updated Dec 4, 2025
  • vector-inference Public

    Efficient LLM inference on Slurm clusters using vLLM.

    VectorInstitute/vector-inference’s past year of commit activity
    Python 85 MIT 12 1 4 Updated Dec 4, 2025
  • CSrankings Public Forked from emeryberger/CSrankings

    A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

    VectorInstitute/CSrankings’s past year of commit activity
    Python 2 3,860 0 0 Updated Dec 4, 2025
  • vllm-lora Public Forked from vllm-project/vllm

    vLLM with support for efficient LoRA updates.

    VectorInstitute/vllm-lora’s past year of commit activity
    Python 3 Apache-2.0 11,865 0 0 Updated Dec 4, 2025
  • Vector-Jobboard Public

    Working with Jobboard API to perform actions needed by Vector Institute

    VectorInstitute/Vector-Jobboard’s past year of commit activity
    Python 0 0 0 1 Updated Dec 4, 2025
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