This project aims to develop a useful resource for learning Deep Learning and Reinforcement Learning using Pytorch. It conatins code from basic to advance level.
- Pytorch Basic
- Linear Regression
- Logistic Regression
- Feed Forward Neural Netwrok
- Convolutional Neural Network
- Deep Recurrent Neural Network
- Bidirectional LSTM
- Variational Auto-encoder Decoder
- GANS
- CapsNet
- Cross-Lingual Word Vectors
- Translation with a Sequence to Sequence Network and Attention
- Style Transfer
- For Images
- For Text
- Caption Generator
- Image Segmentation
- Temporal Convolutional Netwrok for Sentimental Analysis
- ChatBot Tutorials
Note : Plan for RL is yet to decide
Recommended
python 3 and pytorch >= 0.4
Vedic Partap