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.

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

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)

[NeurIPS 2019] Deep Set Prediction Networks

Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"

Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019

Code for paper "Object landmark discovery through unsupervised adaptation"

NIPS 2018 "Invertibility of Convolutional Generative Networks from Partial Measurements"

Statistics, Paper Links and Visualizations of Machine Learning Conferences

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 )

Implementation of Selected Published Papers from AI, RL, NLP Conferences and reputed Journals