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deploy: braindecode/braindecode@e15f28c
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bruAristimunha committed Apr 22, 2024
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config: 8c8714b1dd3099ba9be28597463da7aa
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tags: 645f666f9bcd5a90fca523b33c5a78b7
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38 changes: 21 additions & 17 deletions dev/api.html
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<li class="toctree-l1"><a class="reference internal" href="generated/braindecode.models.EEGInception.html">braindecode.models.EEGInception</a></li>
<li class="toctree-l1"><a class="reference internal" href="generated/braindecode.models.EEGInceptionERP.html">braindecode.models.EEGInceptionERP</a></li>
<li class="toctree-l1"><a class="reference internal" href="generated/braindecode.models.EEGInceptionMI.html">braindecode.models.EEGInceptionMI</a></li>
<li class="toctree-l1"><a class="reference internal" href="generated/braindecode.models.AttentionBaseNet.html">braindecode.models.AttentionBaseNet</a></li>
<li class="toctree-l1"><a class="reference internal" href="generated/braindecode.models.ATCNet.html">braindecode.models.ATCNet</a></li>
<li class="toctree-l1"><a class="reference internal" href="generated/braindecode.models.EEGITNet.html">braindecode.models.EEGITNet</a></li>
<li class="toctree-l1"><a class="reference internal" href="generated/braindecode.models.EEGNetv1.html">braindecode.models.EEGNetv1</a></li>
Expand Down Expand Up @@ -659,55 +660,58 @@ <h2><a class="toc-backref" href="#id12" role="doc-backlink">Models</a><a class="
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.EEGInceptionMI.html#braindecode.models.EEGInceptionMI" title="braindecode.models.EEGInceptionMI"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGInceptionMI</span></code></a>([n_chans, n_outputs, ...])</p></td>
<td><p>EEG Inception for Motor Imagery, as proposed in <a class="reference internal" href="generated/braindecode.models.EEGInceptionMI.html#rc36ed781f4f5-1" id="id2"><span>[Rc36ed781f4f5-1]</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.ATCNet.html#braindecode.models.ATCNet" title="braindecode.models.ATCNet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ATCNet</span></code></a>([n_chans, n_outputs, ...])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.AttentionBaseNet.html#braindecode.models.AttentionBaseNet" title="braindecode.models.AttentionBaseNet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AttentionBaseNet</span></code></a>([n_times, n_chans, ...])</p></td>
<td><p>AttentionBaseNet.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.ATCNet.html#braindecode.models.ATCNet" title="braindecode.models.ATCNet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ATCNet</span></code></a>([n_chans, n_outputs, ...])</p></td>
<td><p>ATCNet model from <a class="reference internal" href="generated/braindecode.models.ATCNet.html#r2ecdb73d6ab9-1" id="id3"><span>[R2ecdb73d6ab9-1]</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.EEGITNet.html#braindecode.models.EEGITNet" title="braindecode.models.EEGITNet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGITNet</span></code></a>([n_outputs, n_chans, n_times, ...])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.EEGITNet.html#braindecode.models.EEGITNet" title="braindecode.models.EEGITNet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGITNet</span></code></a>([n_outputs, n_chans, n_times, ...])</p></td>
<td><p>EEG-ITNet: An Explainable Inception Temporal</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.EEGNetv1.html#braindecode.models.EEGNetv1" title="braindecode.models.EEGNetv1"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGNetv1</span></code></a>([n_chans, n_outputs, n_times, ...])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.EEGNetv1.html#braindecode.models.EEGNetv1" title="braindecode.models.EEGNetv1"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGNetv1</span></code></a>([n_chans, n_outputs, n_times, ...])</p></td>
<td><p>EEGNet model from Lawhern et al. 2016.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.EEGNetv4.html#braindecode.models.EEGNetv4" title="braindecode.models.EEGNetv4"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGNetv4</span></code></a>([n_chans, n_outputs, n_times, ...])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.EEGNetv4.html#braindecode.models.EEGNetv4" title="braindecode.models.EEGNetv4"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGNetv4</span></code></a>([n_chans, n_outputs, n_times, ...])</p></td>
<td><p>EEGNet v4 model from Lawhern et al 2018.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.HybridNet.html#braindecode.models.HybridNet" title="braindecode.models.HybridNet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">HybridNet</span></code></a>([n_chans, n_outputs, n_times, ...])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.HybridNet.html#braindecode.models.HybridNet" title="braindecode.models.HybridNet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">HybridNet</span></code></a>([n_chans, n_outputs, n_times, ...])</p></td>
<td><p>Hybrid ConvNet model from Schirrmeister et al 2017.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.EEGResNet.html#braindecode.models.EEGResNet" title="braindecode.models.EEGResNet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGResNet</span></code></a>([n_chans, n_outputs, n_times, ...])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.EEGResNet.html#braindecode.models.EEGResNet" title="braindecode.models.EEGResNet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGResNet</span></code></a>([n_chans, n_outputs, n_times, ...])</p></td>
<td><p>Residual Network for EEG from Schirrmeister et al 2017.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.TCN.html#braindecode.models.TCN" title="braindecode.models.TCN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TCN</span></code></a>([n_chans, n_outputs, n_blocks, ...])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.TCN.html#braindecode.models.TCN" title="braindecode.models.TCN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TCN</span></code></a>([n_chans, n_outputs, n_blocks, ...])</p></td>
<td><p>Temporal Convolutional Network (TCN) from Bai et al 2018.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.SleepStagerChambon2018.html#braindecode.models.SleepStagerChambon2018" title="braindecode.models.SleepStagerChambon2018"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SleepStagerChambon2018</span></code></a>([n_chans, sfreq, ...])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.SleepStagerChambon2018.html#braindecode.models.SleepStagerChambon2018" title="braindecode.models.SleepStagerChambon2018"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SleepStagerChambon2018</span></code></a>([n_chans, sfreq, ...])</p></td>
<td><p>Sleep staging architecture from Chambon et al 2018.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.SleepStagerBlanco2020.html#braindecode.models.SleepStagerBlanco2020" title="braindecode.models.SleepStagerBlanco2020"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SleepStagerBlanco2020</span></code></a>([n_chans, sfreq, ...])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.SleepStagerBlanco2020.html#braindecode.models.SleepStagerBlanco2020" title="braindecode.models.SleepStagerBlanco2020"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SleepStagerBlanco2020</span></code></a>([n_chans, sfreq, ...])</p></td>
<td><p>Sleep staging architecture from Blanco et al 2020.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.SleepStagerEldele2021.html#braindecode.models.SleepStagerEldele2021" title="braindecode.models.SleepStagerEldele2021"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SleepStagerEldele2021</span></code></a>([sfreq, n_tce, ...])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.SleepStagerEldele2021.html#braindecode.models.SleepStagerEldele2021" title="braindecode.models.SleepStagerEldele2021"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SleepStagerEldele2021</span></code></a>([sfreq, n_tce, ...])</p></td>
<td><p>Sleep Staging Architecture from Eldele et al 2021.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.USleep.html#braindecode.models.USleep" title="braindecode.models.USleep"><code class="xref py py-obj docutils literal notranslate"><span class="pre">USleep</span></code></a>([n_chans, sfreq, depth, ...])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.USleep.html#braindecode.models.USleep" title="braindecode.models.USleep"><code class="xref py py-obj docutils literal notranslate"><span class="pre">USleep</span></code></a>([n_chans, sfreq, depth, ...])</p></td>
<td><p>Sleep staging architecture from Perslev et al 2021.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.TIDNet.html#braindecode.models.TIDNet" title="braindecode.models.TIDNet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TIDNet</span></code></a>([n_chans, n_outputs, n_times, ...])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.TIDNet.html#braindecode.models.TIDNet" title="braindecode.models.TIDNet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TIDNet</span></code></a>([n_chans, n_outputs, n_times, ...])</p></td>
<td><p>Thinker Invariance DenseNet model from Kostas et al 2020.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.get_output_shape.html#braindecode.models.get_output_shape" title="braindecode.models.get_output_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_output_shape</span></code></a>(model, in_chans, ...)</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.get_output_shape.html#braindecode.models.get_output_shape" title="braindecode.models.get_output_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_output_shape</span></code></a>(model, in_chans, ...)</p></td>
<td><p>Returns shape of neural network output for batch size equal 1.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.TimeDistributed.html#braindecode.models.TimeDistributed" title="braindecode.models.TimeDistributed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TimeDistributed</span></code></a>(module)</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.TimeDistributed.html#braindecode.models.TimeDistributed" title="braindecode.models.TimeDistributed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TimeDistributed</span></code></a>(module)</p></td>
<td><p>Apply module on multiple windows.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.BIOT.html#braindecode.models.BIOT" title="braindecode.models.BIOT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BIOT</span></code></a>([emb_size, att_num_heads, n_layers, ...])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.BIOT.html#braindecode.models.BIOT" title="braindecode.models.BIOT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BIOT</span></code></a>([emb_size, att_num_heads, n_layers, ...])</p></td>
<td><p>BIOT: Cross-data Biosignal Learning in the Wild from <a class="reference internal" href="generated/braindecode.models.BIOT.html#r606e26b38fe6-yang2023" id="id4"><span>[R606e26b38fe6-Yang2023]</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.Labram.html#braindecode.models.Labram" title="braindecode.models.Labram"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Labram</span></code></a>([n_times, n_outputs, chs_info, ...])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.Labram.html#braindecode.models.Labram" title="braindecode.models.Labram"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Labram</span></code></a>([n_times, n_outputs, chs_info, ...])</p></td>
<td><p>Labram.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.EEGSimpleConv.html#braindecode.models.EEGSimpleConv" title="braindecode.models.EEGSimpleConv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGSimpleConv</span></code></a>([n_outputs, n_chans, sfreq, ...])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.EEGSimpleConv.html#braindecode.models.EEGSimpleConv" title="braindecode.models.EEGSimpleConv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGSimpleConv</span></code></a>([n_outputs, n_chans, sfreq, ...])</p></td>
<td><p>EEGSimpleConv from <a class="reference internal" href="generated/braindecode.models.EEGSimpleConv.html#r5661533ddc63-yassine2023" id="id5"><span>[R5661533ddc63-Yassine2023]</span></a>.</p></td>
</tr>
</tbody>
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