PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.

The model for the paper Framing Unpacked: A Semi-Supervised Interpretable Multi-View Modelof Media Frames

Transformer-based image captioning extension for pytorch/fairseq

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

Dense captioning with joint inference and visual context

All Algorithms implemented in Python

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

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

[ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"

Graph Convolutional Networks in PyTorch

Code to accompany the paper "Learning Graphical State Transitions"

PyTorch Tutorial for Deep Learning Researchers

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)