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docs: add Verifiable Support Vector Machine #218

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Sep 29, 2023
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docs: add Verifiable Support Vector Machine #218

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2 changes: 1 addition & 1 deletion docs/hub/algorithms.md
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Discover amazing ML models made by the community with Orion! 

<table data-card-size="large" data-view="cards"><thead><tr><th></th><th align="center"></th><th></th></tr></thead><tbody><tr><td><a href="https://github.com/bowenyou/cairo-logistic-regression">Verifiable-Logistic-Regression</a></td><td align="center"></td><td><p></p><p>August 20 - Bowen</p></td></tr><tr><td><a href="https://github.com/BemTG/Verifiable-Linear-Regression-">Verifiable-Linear-Regression</a><br></td><td align="center"></td><td><em>August 15 - Bem Baraki</em></td></tr><tr><td><a href="https://github.com/gizatechxyz/orion_tutorials/blob/main/mnist_nn/QAT_MNIST_MLP.ipynb">MNIST Classification with Feedforward Neural Network</a></td><td align="center"></td><td> <em>June 8, 2023 - Raphael Doukhan</em></td></tr></tbody></table>
<table data-card-size="large" data-view="cards"><thead><tr><th></th><th align="center"></th><th></th></tr></thead><tbody><tr><td><a href="https://github.com/gizatechxyz/orion_tutorials/blob/main/verifiable_support_vector_machine/notebooks/svm.ipynb">Verifiable Support Vector Machine</a></td><td align="center"></td><td><p></p><p>September 26 - 0xd3bs</p></td></tr><tr><td><a href="https://github.com/bowenyou/cairo-logistic-regression">Verifiable-Logistic-Regression</a></td><td align="center"></td><td><p></p><p>August 20 - Bowen</p></td></tr><tr><td><a href="https://github.com/BemTG/Verifiable-Linear-Regression-">Verifiable-Linear-Regression</a><br></td><td align="center"></td><td><em>August 15 - Bem Baraki</em></td></tr><tr><td><a href="https://github.com/gizatechxyz/orion_tutorials/blob/main/mnist_nn/QAT_MNIST_MLP.ipynb">MNIST Classification with Feedforward Neural Network</a></td><td align="center"></td><td> <em>June 8, 2023 - Raphael Doukhan</em></td></tr></tbody></table>

We encourage you to contribute your own implementations and help grow this collection, benefiting the community and driving innovation in verifiable ML model inference.