Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.

Soft Threshold Weight Reparameterization for Learnable Sparsity

A repository in preparation for open-sourcing lottery ticket hypothesis code.

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily a…

End-to-end Neural Coreference Resolution

Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems

Code and Data for the paper: "Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information"

Graph Convolutional Networks in PyTorch

TensorFlow/Keras implementation of "Universal Style Transfer via Feature Transforms" from https://arxiv.org/abs/1705.08086

TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼

An open-source NLP research library, built on PyTorch.

This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.

An implementation of "Incorporating copying mechanism in sequence-to-sequence learning"

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

Zipkin is a distributed tracing system

A Global Name Service for a Highly Mobile and Secure Internetwork

The most cited deep learning papers