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‎docs/index.md‎

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<div class="catalog-stats">
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<div class="stat">
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<div class="stat-number">33</div>
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<div class="stat-number">43</div>
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<div class="stat-label">Implementations</div>
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<div class="grid cards" markdown>
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<div class="card" markdown>
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<div class="header">
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<h3><a href="https://github.com/VectorInstitute/anomaly-detection" title="Go to Repository">anomaly-detection</a></h3>
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<span class="tag year-tag">2023</span>
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<span class="tag type-tag">bootcamp</span>
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</div>
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<p>A repository with implementation of anomaly detection techniques</p>
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<div class="tag-container">
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<span class="tag" data-tippy="Logistic Regression (Supervised)">Logistic Regression (Supervised)</span> <span class="tag" data-tippy="Random Forest (Supervised)">Random Forest (Supervised)</span> <span class="tag" data-tippy="XGBoost (Supervised)">XGBoost (Supervised)</span> <span class="tag" data-tippy="CatBoost (Supervised)">CatBoost (Supervised)</span> <span class="tag" data-tippy="Light GBM (Supervised)">Light GBM (Supervised)</span> <span class="tag" data-tippy="TabNet (Supervised and Semi-supervised)">TabNet (Supervised and Semi-supervised)</span> <span class="tag" data-tippy="Autoencoder (AE) (Unsupervised)">Autoencoder (AE) (Unsupervised)</span> <span class="tag" data-tippy="Isolation Forest (Unsupervised)">Isolation Forest (Unsupervised)</span>
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</div>
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<div class="datasets">
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<strong>Datasets:</strong> <a href="https://arxiv.org/pdf/2211.13358.pdf" class="dataset-tag" target="_blank">Bank Account Fraud Detection</a> <a href="https://dgraph.xinye.com/dataset" class="dataset-tag" target="_blank">DGraph dataset</a> <a href="https://www.mvtec.com/company/research/datasets/mvtec-ad" class="dataset-tag" target="_blank">MVTec dataset</a> <a href="http://www.svcl.ucsd.edu/projects/anomaly/dataset.htm" class="dataset-tag" target="_blank">UCSD Anomaly Detection Dataset</a> <a href="https://www.kaggle.com/datasets/odins0n/ucf-crime-dataset" class="dataset-tag" target="_blank">UCF Crime Dataset</a>
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</div>
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<div class="card" markdown>
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<div class="header">
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<h3><a href="https://github.com/VectorInstitute/diffusion_models" title="Go to Repository">diffusion-models</a></h3>
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<span class="tag year-tag">2024</span>
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<span class="tag" data-tippy="TabDDPM">TabDDPM</span> <span class="tag" data-tippy="TabSyn">TabSyn</span> <a href="https://arxiv.org/abs/2405.17724" class="tag" target="_blank">ClavaDDPM</a> <span class="tag" data-tippy="CSDI">CSDI</span> <a href="https://arxiv.org/abs/2307.11494" class="tag" target="_blank">TSDiff</a>
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<div class="datasets">
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<strong>Datasets:</strong> <span class="dataset-tag">Physionet Challenge 2012</span> <span class="dataset-tag">wiki2000</span>
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<strong>Datasets:</strong> <a href="https://www.physionet.org/content/challenge-2012/1.0.0/" class="dataset-tag" target="_blank">Physionet Challenge 2012</a> <a href="https://archive.ics.uci.edu/dataset/321/electricityloaddiagrams20112014" class="dataset-tag" target="_blank">Electricity dataset (UCI Machine Learning Repository)</a>
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<div class="card" markdown>
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<div class="header">
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<h3><a href="https://github.com/VectorInstitute/ai-deployment" title="Go to Repository">ai-deployment</a></h3>
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<span class="tag year-tag">2024</span>
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<span class="tag type-tag">bootcamp</span>
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</div>
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<p>A repository with reference implementations for deploying AI models in production environments, focusing on best practices and cloud-native solutions.</p>
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<div class="tag-container">
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<a href="https://aws.amazon.com/" class="tag" target="_blank">AWS</a> <a href="https://cloud.google.com/" class="tag" target="_blank">GCP</a>
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</div>
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<span class="tag" data-tippy="Web Search">Web Search</span> <span class="tag" data-tippy="Document Search">Document Search</span> <span class="tag" data-tippy="SQL Search">SQL Search</span> <span class="tag" data-tippy="Cloud Search">Cloud Search</span> <span class="tag" data-tippy="PubMed QA">PubMed QA</span> <span class="tag" data-tippy="RAG Evaluation">RAG Evaluation</span>
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<strong>Datasets:</strong> <a href="https://pubmed.ncbi.nlm.nih.gov" class="dataset-tag" target="_blank">PubMed</a> <span class="dataset-tag">wiki2000</span>
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<strong>Datasets:</strong> <a href="https://pubmed.ncbi.nlm.nih.gov" class="dataset-tag" target="_blank">PubMed</a> <a href="https://www.kaggle.com/datasets/prakharrathi25/banking-dataset-marketing-targets" class="dataset-tag" target="_blank">Banking Dataset - Marketing Targets</a>
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‎repositories/ai-deployment.yaml‎

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name: ai-deployment
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repo_id: VectorInstitute/ai-deployment
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description: "A repository with reference implementations for deploying AI models in production environments, focusing on best practices and cloud-native solutions."
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implementations:
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- name: AWS
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url: https://aws.amazon.com/
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- name: GCP
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url: https://cloud.google.com/
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type: bootcamp
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year: 2024
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github_url: https://github.com/VectorInstitute/ai-deployment

‎repositories/anomaly-detection.yaml‎

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name: anomaly-detection
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repo_id: VectorInstitute/anomaly-detection
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description: "A repository with implementation of anomaly detection techniques"
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implementations:
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- name: Logistic Regression (Supervised)
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- name: Random Forest (Supervised)
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- name: XGBoost (Supervised)
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- name: CatBoost (Supervised)
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- name: Light GBM (Supervised)
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- name: TabNet (Supervised and Semi-supervised)
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- name: Autoencoder (AE) (Unsupervised)
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- name: Isolation Forest (Unsupervised)
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public_datasets:
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- name: Bank Account Fraud Detection
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url: https://arxiv.org/pdf/2211.13358.pdf
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- name: DGraph dataset
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url: https://dgraph.xinye.com/dataset
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- name: MVTec dataset
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url: https://www.mvtec.com/company/research/datasets/mvtec-ad
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- name: UCSD Anomaly Detection Dataset
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url: http://www.svcl.ucsd.edu/projects/anomaly/dataset.htm
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- name: UCF Crime Dataset
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url: https://www.kaggle.com/datasets/odins0n/ucf-crime-dataset
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type: bootcamp
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year: 2023
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github_url: https://github.com/VectorInstitute/anomaly-detection

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