Collection of Machine Learning notebooks in Jupyter and Google Colab.
Model | PyTorch | Tensorflow | ||
MLP | Jupyter | Colab | - | - |
Recurrent Neural Network | Jupyter | Colab | Jupyter | Colab |
AutoEncoder | Jupyter | Colab | - | - |
Convolutional AutoEncoder | Jupyter | Colab | - | - |
- Convolutional Neural Network
- Encoder-Decoder
- Generative Adversarial Network
Task | Model | Dataset | Framework |
---|---|---|---|
Change background of image | FCN ResNet-101 | COCO | PyTorch |
- TODO:
- Text generation with RNN/LSTM/GRU
- Text generation with GPT
- Text classification with BERT
- Kind-PyTorch-Tutorial: 12 notebooks (including denoising autoencoder)
- pytorch-tutorial: basics, intermediate and advanced + tensorboard
- PyTorch-Tutorial: well commented
- PyTorchZeroToAll: video lessons [slides]
- the-incredible-pytorch: list of tutorials
- Pytorch-Project-Template: scalable templates
- tensorboardX: tensorboard for PyTorch
- pytorch-beginner: AE