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update: enlist projects
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Avdhesh-Varshney committed Jan 18, 2025
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9 changes: 9 additions & 0 deletions docs/algorithms/generative-adversarial-networks/index.md
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</div>
</a>

<!-- Info GAN -->
<a href="info-gan" style="padding: 0 2px 0 16px; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0,0,0,0.1); overflow: hidden; transition: transform 0.2s; display: flex; align-items: center;">
<img src="https://www.researchgate.net/publication/340884113/figure/fig3/AS:883691647684610@1587699915907/Structure-and-operation-of-InfoGAN-Information-maximizing-Generative-Adversarial.png" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Information Maximizing Generative Adversarial Network</h2>
<p style="font-size: 16px;">Empowering Data-Driven Insights with Generative Adversarial Networks for Advanced Information Synthesis.</p>
<p style="font-size: 12px;">📅 2025-01-15 | ⏱️ 4 mins</p>
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22 changes: 11 additions & 11 deletions docs/algorithms/machine-learning/index.md
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<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 15px;">

<!-- Boosting -->
<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
<a href="boosting/" style="width: 100%; display: block;">
<img src="https://media.geeksforgeeks.org/wp-content/uploads/20210707140911/Boosting.png" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
<figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
<h3 style="margin: 0; font-size: 18px;">Boosting</h3>
<p style="font-size: 14px; color: #666;">Modeling technique that attempts to build a strong classifier from the number of weak classifiers.</p>
</figcaption>
</a>
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<!-- Data Processing -->
<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
<a href="data-preprocessing/" style="width: 100%; display: block;">
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</a>
</figure>

<!-- Boosting -->
<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
<a href="boosting/" style="width: 100%; display: block;">
<img src="https://media.geeksforgeeks.org/wp-content/uploads/20210707140911/Boosting.png" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
<figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
<h3 style="margin: 0; font-size: 18px;">Boosting</h3>
<p style="font-size: 14px; color: #666;">Modeling technique that attempts to build a strong classifier from the number of weak classifiers.</p>
</figcaption>
</a>
</figure>

</div>

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