ryansherby / from-scratch-in-pytorch

Implementing Deep Learning Models from scratch in Pytorch

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Implementing Different Neural Networks From Scratch in Pytorch

Models Implemented:

  • Vanilla Multi-Layered-Preceptron.
  • Vanilla CNN.
  • Vanilla RNN.
  • Vanilla Graph Convolutional Networks.

TODO

  • Bi-directional RNNs.
  • LSTMs & GRUs.
  • Soft Attention (Neural Machine Translation).
  • Relational GCNs, Graph Attention Networks.
  • Transformers.

About

Implementing Deep Learning Models from scratch in Pytorch


Languages

Language:Jupyter Notebook 97.8%Language:Python 2.2%