PyTorch bottom-up attention with Detectron2

Scene Graph Parsing as Dependency Parsing

Deep Reinforcement Learning with pytorch & visdom (the branch for A3C continuous control)

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great J…

YOLOv2 in PyTorch

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

Open-Source Neural Machine Translation in PyTorch http://opennmt.net/

Tree LSTM implementation in PyTorch

Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics data in TensorFlow

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Tree LSTM implementation in PyTorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

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