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The Wayback Machine - https://web.archive.org/web/20200914003500/https://github.com/topics/neurips
Here are
15 public repositories
matching this topic...
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Updated
Mar 15, 2020
Jupyter Notebook
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Updated
May 31, 2020
Python
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Updated
May 4, 2020
Jupyter Notebook
[NeurIPS 2019] Deep Set Prediction Networks
Updated
Dec 4, 2019
Python
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
Updated
Aug 15, 2020
Python
Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019
Updated
Dec 18, 2019
Python
Code for paper "Object landmark discovery through unsupervised adaptation"
Updated
Nov 14, 2019
Python
NIPS 2018 "Invertibility of Convolutional Generative Networks from Partial Measurements"
Updated
Mar 9, 2019
MATLAB
Statistics, Paper Links and Visualizations of Machine Learning Conferences
Updated
Jun 6, 2020
JavaScript
I compiled a list of useful links for NeurIPS 2018 (NIPS 2018)
Code for 'Chasing Ghosts: Instruction Following as Bayesian State Tracking' published at NeurIPS 2019
Paper Crawler for downloading academic papers ( ICML, ICLR, NIPS, UAI, ICRA, CoRL, AAAI, IJCAI )
Updated
Sep 7, 2019
Python
Implementation of Selected Published Papers from AI, RL, NLP Conferences and reputed Journals
Updated
Apr 1, 2020
Jupyter Notebook
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