There are 3 repositories under neurips-2019 topic.
FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)
Noise Conditional Score Networks (NeurIPS 2019, Oral)
Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
[NeurIPS 2019] Face Reconstruction from Voice using Generative Adversarial Networks
Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
[NeurIPS 2019] Deep Set Prediction Networks
Reusable BatchBALD implementation
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"
Code, Pre-trained Models and some materials accompanying "Data-driven Estimation of Sinusoid Frequencies"
[AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
Code for paper "Object landmark discovery through unsupervised adaptation"
3rd place solution for NeurIPS 2019 MicroNet challenge
PyTorch implementation of CondConv and MobileNetV2 model
PyTorch AlphaZero implementation with multiplayer support [NeurIPS 2019 Deep Reinforcement Learning Workshop]
Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"
Learning Perceptual Inference by Contrasting
NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".
A comprehensive collection of GNN works in NeurIPS 2019.
(NeurIPS 2019) Deep Model Transferbility from Attribution Maps
NeurIPS 2019 Accepted - Extending Stein's Unbiased Risk Estimator to Train Deep Denoisers with Correlated Pairs of Noisy Images
(NeurIPS-2019 MicroNet Challenge - 3rd Winner) Open source code for "SIPA: A simple framework for efficient networks"
Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"