Intuitive library for training neural nets in PyTorch
Intuitive library to help with training neural networks in PyTorch
ignis is a high-level library that helps you write compact but full-featured training loops with metrics, early stops,
and model checkpoints for deep learning library PyTorch.
ignis you can solve Supervised Learning and Deep Reinforcement Learning problems.
You can extend
ignis according to your own needs. You can implement custom functionalities by extending simple
Deep Reinforcement Learning algorithms
- Deep Q Network (DQN)
- Deep Deterministic Policy Gradients (DDPG)
- Install PyTorch. You can find it here: PyTorch
pip install ignis
You can find examples in
You can also run examples:
You might want to
- Implement new functionalities
- Improve code design
- Improve comments and readme
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