GITBOOK-34: change request with no subject merged in GitBook

gizatechxyz · Sep 28, 2023 · acb840d · acb840d
1 parent 67d3b34
commit acb840d
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/docs/hub/algorithms.md b/docs/hub/algorithms.md
@@ -2,6 +2,6 @@
 
 Discover amazing ML models made by the community with Orion!&#x20;
 
-<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/tree/main/verifiable_support_vector_machine">Verifiable-Support-Vector-Machine</a></td><td align="center"></td><td><p></p><p><em>September 26 - 0xd3bs</em></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>
+<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>
 
 We encourage you to contribute your own implementations and help grow this collection, benefiting the community and driving innovation in verifiable ML model inference.