This repo records my practices on pytorch.
Pytorch Tutorials - Complete Beginner Course: https://www.youtube.com/playlist?list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4
- Tensor basics: https://github.com/dongminkim0220/pytorch_tutorial/blob/master/Tensors.ipynb
- autograd: https://github.com/dongminkim0220/pytorch_tutorial/blob/master/autograd.ipynb
- backprop, loss, and optimizer: https://github.com/dongminkim0220/pytorch_tutorial/blob/master/Backprop_Loss_Optimizer.ipynb
- regression models: https://github.com/dongminkim0220/pytorch_tutorial/blob/master/Regression_Models.ipynb
- dataloader: https://github.com/dongminkim0220/pytorch_tutorial/blob/master/dataloader.ipynb
- softmax and activations: https://github.com/dongminkim0220/pytorch_tutorial/blob/master/Softmax_and_Activation.ipynb
- feed forward and cnn: https://github.com/dongminkim0220/pytorch_tutorial/blob/master/forward_and_conv.ipynb
- transfer learning: https://github.com/dongminkim0220/pytorch_tutorial/blob/master/Transfer_Learning.ipynb
- RNN: https://github.com/dongminkim0220/pytorch_tutorial/blob/master/RNN_LSTM_GRU.ipynb
Pytorch Official NLP Tutorial
- NLP Basics(Char RNN): https://github.com/dongminkim0220/pytorch_tutorial/blob/master/NLP.ipynb