Model zoo is a great compilation of deep learning and reinforcement learning algorithms. Currently state of the art baselines in terms of reinforcement learning and generative models are lacking in this package, which are present in tensorflow and pytorch. This project aims to add state of the art reinforcement learning algorithms like Proximal Policy Optimization and Trust Region Policy Optimization along with multi-modal translation and image captioning networks. These models are complex to implement and thus most users resort to standard tensorflow/pytorch implementations. Adding these to model zoo would attract a lot of researchers.