DL-collections
Collection of Deep Learning Models and References
Environment
Mainly using PyTorch. (Environment used will be specified in code comment header if otherwise)
In progress
- Following Spinning Up
To do
- Practical Deep Learning for Coders (fast.ai)
- Implement MaskGAN (paper)
- Explore Neural-Symbolic Integration (lectures + paper) looks really cool
- Implement Neural Style Transfer (paper)
- Implement Autoencoder & Variations
Completed
- Implement Policy Gradient on OpenAI Gym (ref1, ref2)
- Implement DQN on OpenAI Gym
- Implement DQN from paper
- Implement DDQN from paper
- MNIST Classifier
- Implement LSTM RNN in pytorch
- Implement GAN (paper)
- Implement transfer Learning
- Explore model uncertainty (blog post)
Ideas
- CNN text classification of spam emails