A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Models and examples built with TensorFlow

Segmentation models with pretrained backbones. Keras.

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

All Algorithms implemented in Python

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

[CVPR 2017] Torch code for Visual Dialog

Attempting to make the Deep Learning Book easier to understand.

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

Code for Interpretable Counting for Visual Question Answering for ICLR 2018 reproducibility challenge.

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Bilinear attention networks for visual question answering

PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

An implementation of Skip-Thought Vectors in PyTorch

Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization"(https://arxiv.org/abs/1705.04304)

Keras-based LSTM/CNN models for Visual Question Answering