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Deep Learning using PyTorch

This set of Jupyter notebooks offers a basic introduction to deep learning concepts.

  • Intro to Torch.ipynb: Basic conspects of PyTorch.

  • Neural Networks using PyTorch.ipynb: Neural Network using PyTorch.
  • BitCoin price prediction.ipynb: Predict BitCoin prices based on historical data.

  • Generate a Linux kernel using RNN.ipynb: Build a generative model trained using the Linux Kernel source code.

  • glove word vectors.ipynb: Introdcution to GloVe word vectors

  • Machine Translation using PyTorch.ipynb: Build a French to English translation system.

  • BRATS.ipynb: Brain Tumer Segmentation using VNET.

The notebooks are written and tested using Python 3.6 and PyTorch 0.5.0