@@ -362,7 +362,7 @@ Learn the basics of fastdup through interactive examples. View the notebooks on
362362</table >
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364364
365- ## Data Loading
365+ ## Data Sources
366366This notebooks in this section shows how you can load data from various sources and analyze them with fastdup.
367367
368368<table >
@@ -477,7 +477,6 @@ This notebooks in this section shows how you can load data from various sources
477477 </td>
478478 </tr>
479479 <!-- ------------------------------------------------------------------- -->
480- <!-- ------------------------------------------------------------------- -->
481480 <tr>
482481 <td rowspan="4" width="160">
483482 <a href="https://visual-layer.readme.io/docs/analyzing-labelbox-datasets">
@@ -515,6 +514,80 @@ This notebooks in this section shows how you can load data from various sources
515514 </td>
516515 </tr>
517516 <!-- ------------------------------------------------------------------- -->
517+ <tr>
518+ <td rowspan="4" width="160">
519+ <a href="https://visual-layer.readme.io/docs/analyzing-torchvision-datasets">
520+ <img src="./gallery/torch_thumbnail.jpg" width="200" />
521+ </a>
522+ </td>
523+ <td rowspan="4"><b>🔦 Torchvision Datasets:</b> Load and analyze vision datasets from <a href="https://pytorch.org/vision/main/datasets.html">Torchvision Datasets</a>.<br><br>
524+ <div align="right"><a href="https://visual-layer.readme.io/docs/analyzing-torchvision-datasets">🔗 Learn More.</a></div>
525+ </td>
526+ <td align="center" width="80">
527+ <a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/analyzing-torchvision-datasets.ipynb">
528+ <img src="./gallery/nbviewer_logo.png" height="30" />
529+ </a>
530+ </td>
531+ </tr>
532+ <tr>
533+ <td align="center">
534+ <a href="https://github.com/visual-layer/fastdup/blob/main/examples/analyzing-torchvision-datasets.ipynb">
535+ <img src="./gallery/github_logo.png" height="25" />
536+ </a>
537+ </td>
538+ </tr>
539+ <tr>
540+ <td align="center">
541+ <a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/analyzing-torchvision-datasets.ipynb">
542+ <img src="./gallery/colab_logo.png" height="20" />
543+ </a>
544+ </td>
545+ </tr>
546+ <tr>
547+ <td align="center">
548+ <a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/analyzing-torchvision-datasets.ipynb">
549+ <img src="./gallery/kaggle_logo.png" height="25" />
550+ </a>
551+ </td>
552+ </tr>
553+ <!-- ------------------------------------------------------------------- -->
554+ <tr>
555+ <td rowspan="4" width="160">
556+ <a href="https://visual-layer.readme.io/docs/analyzing-tensorflow-datasets">
557+ <img src="./gallery/tfds_thumbnail.jpg" width="200" />
558+ </a>
559+ </td>
560+ <td rowspan="4"><b>💦 Tensorflow Datasets:</b> Load and analyze vision datasets from <a href="https://www.tensorflow.org/datasets">Tensorflow Datasets</a>.<br><br>
561+ <div align="right"><a href="https://visual-layer.readme.io/docs/analyzing-tensorflow-datasets">🔗 Learn More.</a></div>
562+ </td>
563+ <td align="center" width="80">
564+ <a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/analyzing-tensorflow-datasets.ipynb">
565+ <img src="./gallery/nbviewer_logo.png" height="30" />
566+ </a>
567+ </td>
568+ </tr>
569+ <tr>
570+ <td align="center">
571+ <a href="https://github.com/visual-layer/fastdup/blob/main/examples/analyzing-tensorflow-datasets.ipynb">
572+ <img src="./gallery/github_logo.png" height="25" />
573+ </a>
574+ </td>
575+ </tr>
576+ <tr>
577+ <td align="center">
578+ <a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/analyzing-tensorflow-datasets.ipynb">
579+ <img src="./gallery/colab_logo.png" height="20" />
580+ </a>
581+ </td>
582+ </tr>
583+ <tr>
584+ <td align="center">
585+ <a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/analyzing-tensorflow-datasets.ipynb">
586+ <img src="./gallery/kaggle_logo.png" height="25" />
587+ </a>
588+ </td>
589+ </tr>
590+ <!-- ------------------------------------------------------------------- -->
518591</table >
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