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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 53 11

Repositories

Showing 10 of 152 repositories
  • kg-rag Public

    This project implements a comprehensive framework for Knowledge Graph Retrieval Augmented Generation (KG-RAG). It focuses on financial data from SEC 10-Q filings and explores how knowledge graphs can improve information retrieval and question answering compared to baseline approaches.

    VectorInstitute/kg-rag’s past year of commit activity
    Python 20 10 1 2 Updated Dec 1, 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 1, 2025
  • 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 Dec 1, 2025
  • fed-rag Public

    A framework for fine-tuning retrieval-augmented generation (RAG) systems.

    VectorInstitute/fed-rag’s past year of commit activity
    Python 137 Apache-2.0 26 47 (6 issues need help) 3 Updated Dec 1, 2025
  • FLorist Public
    VectorInstitute/FLorist’s past year of commit activity
    CSS 10 Apache-2.0 1 0 3 Updated Dec 1, 2025
  • odyssey Public

    A toolkit for developing foundation models using Electronic Health Record (EHR) data.

    VectorInstitute/odyssey’s past year of commit activity
    Python 46 Apache-2.0 13 7 1 Updated Dec 1, 2025
  • shared-encoder Public

    Codebase for the paper titled 'A Shared Encoder Approach to Multimodal Representation Learning'

    VectorInstitute/shared-encoder’s past year of commit activity
    Python 9 MIT 1 0 3 Updated Dec 1, 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 1 Updated Dec 1, 2025
  • masksql Public Forked from sepideh-abedini/MaskSQL

    MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction

    VectorInstitute/masksql’s past year of commit activity
    Python 1 MIT 1 0 4 Updated Dec 1, 2025
  • VectorInstitute/gaca-early-warning’s past year of commit activity
    Python 0 Apache-2.0 0 0 1 Updated Dec 1, 2025

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