1. |
Pytorch Basics |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
2. |
PyTorch Basic Autograd |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
3. |
Pytorch Basic Neural Network |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
4. |
PyTorch Image Classification using NN |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
5. |
PyTorch FashionMNIST Image classification using CNN |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
6. |
PyTorch Transfer Learning using Resnet18 |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
7. |
Pytorch Transfer Learning using VGG16 |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
8. |
Pytorch AutoEncoder with NN Image Reconstruction |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
9. |
Pytorch AutoEncoder with Conv2d Image Reconstruction |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
10. |
Pytorch AutoEncoder with NN Image Denoising |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
11. |
Pytorch CustomDataset Class Creation |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
12. |
Pytorch Denoising Text Image Documents using Autoencoder |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
13. |
Pytorch Adding Noise to Image Data for Deep learning Data Augmentation |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
14. |
Pytorch Deep learning Model Tracking using Tensorboard |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
15. |
Pytorch Deep Neural Network Training with Noisy Data |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
16. |
Pytorch Albumentation for Augmentation |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
17. |
Pytorch Transfer learning with Caltech101 with Resnet34 |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
18. |
Pytorch Class Accuracy on Imbalance Dataset with Caltech256 |
![Open In Collab](https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667) |
19. |
Pytorch Sparse Autoencoder using L1 Regularization |
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20. |
Pytorch Sparse Autoencoders using KL Divergence |
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21. |
Pytorch Visualizing Filters and Feature Maps in CNN |
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22. |
Pytorch Efficient Image Data Loader |
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23. |
Pytorch Image Dataset Expansion using Image Augmentation |
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24. |
Pytorch American Sign Language detection |
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25. |
Pytorch Image Deblurring using CNN |
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26. |
Pytorch Action Recognition in Video |
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27. |
Pytorch Image Super Resolution |
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28. |
Pytorch Optimization Method - Adam Optimizer |
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29. |
Pytorch Face Image Generation using Convolution Variational Autoencoder |
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30. |
Pytorch Effective Model Saving and Resuming Training |
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31. |
Pytorch Generative MNIST Digit using Vanilla GAN |
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32. |
Pytorch Deep Convolutions GAN |
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33. |
Pytorch Automatic Mixed Precision Training |
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34. |
Pytorch Faster RCNN Object Detection |
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35. |
Pytorch Spatial Transformer Network |
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36. |
Pytorch Reduce Image Distortion using Spatial Transformer |
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37. |
Pytorch Semantic Segmentation - FCNResNet |
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38. |
Pytorch Road Pothole Detection with FasterRCNN ResNet50 |
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39. |
Pytorch Human Action Recognition from video |
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40. |
Pytorch Facial Key point Detection |
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41. |
Pytorch Advance Key point Detection |
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42. |
Pytorch Automatic Face and Facial Landmark Detection with Facenet |
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43. |
Pytorch Human Pose Detection using Keypoint RCNN |
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44. |
Pytorch Instance Segmentation with Mask R-CNN |
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45. |
Pytorch Object Detection using RetinaNet |
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46. |
Pytorch Real-Time Pose Estimation using AlphaPose |
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47. |
Pytorch Convolutional Variational Autoencoder on MNIST Dataset |
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48. |
Pytorch Generating Fictional Celebrity Faces using Convolutional Variational Autoencoder |
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49. |
Pytorch Multi-Label Image Classification |
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50. |
Pytorch Object Detection and SSD300 with VGG16 Backbone |
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