Pointer-generator reinforced seq2seq summarization in PyTorch
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Updated
Apr 16, 2019 - Python
Pointer-generator reinforced seq2seq summarization in PyTorch
Open R-NET (hy` առնետ 🐁) implementation and detailed analysis: https://git.io/vd8dx
Code for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017
[arXiv prepreint] Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings
多源指针网络 (multi source pointer network)
Pointer Networks Implementation to solve Convex-Hull and TSP problems using supervised and RL training.
pointer network based on unitransfomrer
An Implementation of Copy Seq2Seq
Pytorch implementation of Ptr-Net to solve TSP.
CNN Extension to Pointer Network
A pointer network model implemented with pytorch.
Pointer network (Keras) that learns job sequences for unrelated parallel machine scheduling with setup times
This repo is for pytorch implementation of pointer network papar.
SolidGen reimplementation in PyTorch: vertex/edge/face pointer-network Transformers with constrained sampling, plus OpenCASCADE B-rep reconstruction and STEP export.
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