neurips-2019

There are 3 repositories under neurips-2019 topic.

ermongroup / ncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)
score-matching score-based-generative-modeling generative-models neurips-2019
Language:Python 741
zhangxiaosong18 / FreeAnchor
FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)
computer-vision freeanchor neurips-2019 object-detection one-stage pytorch
Language:Python 676
lrjconan / GRAN
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
neurips-2019 generative-model deep-generative-model graph-neural-networks graph-generation
Language:C++ 477
White-Link / UnsupervisedScalableRepresentationLearningTimeSeries
Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
machine-learning time-series triplet-loss time-series-classification neural-networks deep-learning pytorch neurips-2019 ucr-archive uea-archive
Language:Jupyter Notebook 402
ds4dm / learn2branch
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
neurips-2019
Language:Python 380
bknyaz / graph_attention_pool
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
graph graph-neural-networks pytorch neurips neurips-2019 attention-mechanism attention pooling pytorch-geometric
Language:Jupyter Notebook 286
cmu-mlsp / reconstructing_faces_from_voices
[NeurIPS 2019] Face Reconstruction from Voice using Generative Adversarial Networks
gan neurips-2019 speech voice2face
Language:Python 190
Xharlie / DISN
(latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
sdf 3d-reconstruction mesh-generation single-view camera-pose-estimation nips-paper nips-2019 3d-vision shapenet shapenet-dataset shapenetcore paper reconstructed-models neurips-2019
Language:C++ 184
zhou13 / neurvps
Neural Vanishing Point Scanning via Conic Convolution
detected-vanishing-points conic-convolution cnn vanishing-points deep-learning deep-neural-networks pytorch lsd paper neurips-2019
Language:Python 184
gengshan-y / VCN
Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
deep-learning neurips-2019 optical-flow pytorch
Language:Jupyter Notebook 155
apple / ml-multiple-futures-prediction
neurips-2019
Language:Python 142
dspn
Cyanogenoid / dspn
[NeurIPS 2019] Deep Set Prediction Networks
set prediction deep-learning neurips neurips-2019
Language:Python 100
kamwoh / DeepIPR
[NeurIPS 2019] This is the code repo of our novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into various deep learning architectures (e.g. AlexNet, ResNet) for Intellectual Property Right (IPR) protection.
deep-ipr deep-learning intellectual-property ipr neural-network-ownership neurips neurips-2019 nn-ownership ownership-verification passport passport-layer
Language:Python 81
BlackHC / batchbald_redux
Reusable BatchBALD implementation
active-learning batchbald machine-learning nbdev neurips-2019 pytorch
Language:Jupyter Notebook 78
apple / ml-data-parameters
neurips-2019
Language:Python 76
layer6ai-labs / GSS
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
neurips image-retrieval manifold-learning gcn neurips-2019
Language:Python 64
husthuaan / AAT
Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019
image-captioning seq2seq attention-mechanism neurips-2019 neurips
Language:Python 51
varungohil / Generalizing-Lottery-Tickets
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"
lottery-ticket-hypothesis generalization pruning neurips-2019 reproducibility-challenge neural-network-compression
Language:Jupyter Notebook 51
apple / ml-afv
neurips-2019
Language:Python 46
sreyas-mohan / DeepFreq
Code, Pre-trained Models and some materials accompanying "Data-driven Estimation of Sinusoid Frequencies"
deep-learning frequency-estimation machine-learning neurips-2019 signal-processing spectral-superresolution
Language:HTML 46
agadetsky / pytorch-pl-variance-reduction
[AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
aaai2020 pytorch variance-reduction plackett-luce relax rebar structure-learning directed-acyclic-graph control-variates neurips-2019 permutations plackett-luce-distribution
Language:Jupyter Notebook 38
ESanchezLozano / SAIC-Unsupervised-landmark-detection-NeurIPS2019
Code for paper "Object landmark discovery through unsupervised adaptation"
neurips-2019 landmark-discovery unsupervised-domain-adaptation unsupervised-adaptation incremental-learning neurips landmark pytorch
Language:Python 38
choyingw / CFCNet
NeurIPS 2019: Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
depth-completion computer-vision 3d depth-estimation canonical-correlation-analysis multimodal-deep-learning deep-neural-networks nips-2019 neurips-2019
Language:Python 37
yashbhalgat / QualcommAI-MicroNet-submission-MixNet
3rd place solution for NeurIPS 2019 MicroNet challenge
competition neurips-2019 micronet-challenge mixnet quantization quantization-aware-training model-pruning unstructured-pruning model-compression
Language:Python 35
d-li14 / condconv.pytorch
PyTorch implementation of CondConv and MobileNetV2 model
condconv convolutional-neural-networks mobilenetv2 neurips-2019 pytorch-implementation
Language:Python 34
petosa / multiplayer-alphazero
PyTorch AlphaZero implementation with multiplayer support [NeurIPS 2019 Deep Reinforcement Learning Workshop]
alphazero pytorch neurips-2019 deep-reinforcement-learning
Language:Python 34
wy1iu / NSL
Implementation for <Neural Similarity Learning> in NeurIPS'19.
neural-networks dynamic similarity spherenet neural-similarity neurips-2019 meta-learning few-shot
Language:Python 33
divyat09 / cf-feasibility
Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"
machine-learning explainable-ml counterfactual-explanations causality neurips-2019
Language:Python 30
WellyZhang / CoPINet
Learning Perceptual Inference by Contrasting
abstract-reasoning neurips-2019 ravens-progressive-matrices visual-reasoning
Language:Python 27
Kthyeon / KAIST-AI-NeurIPS2019-MicroNet-2nd-place-solution
NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".
efficient-model orthonormality regularization adaptive-label-smoothing micronet-challenge cifar100 neurips neurips-2019 neurips-competition neurips2019
Language:Python 26
tesslerc / GAC
Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"
reinforcement-learning-algorithms deep-reinforcement-learning neurips-2019 nips-2019
Language:Python 22
cshjin / gnn_in_neurips_2019
A comprehensive collection of GNN works in NeurIPS 2019.
neurips-2019 graphneuralnetwork gnn
21
zju-vipa / TransferbilityFromAttributionMaps
(NeurIPS 2019) Deep Model Transferbility from Attribution Maps
neurips-2019 model-transferbility
Language:Python 20
BBVA / UMAL
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
uncertainty uncertainty-estimation deep-learning aleatoric-uncertainty neurips-2019 umal
Language:Jupyter Notebook 19
Lee-Gihun / MicroNet_OSI-AI
(NeurIPS-2019 MicroNet Challenge - 3rd Winner) Open source code for "SIPA: A simple framework for efficient networks"
adaptive-computation compact-neural-network early-exiting micronet micronet-challenge model-acceleration model-compression neurips-2019 pruning
Language:Python 19
Magauiya / Extended_SURE
NeurIPS 2019 Accepted - Extending Stein's Unbiased Risk Estimator to Train Deep Denoisers with Correlated Pairs of Noisy Images
extended-sure image-denoising neurips-2019 tensorflow unsupervised-learning
Language:Python 19

neurips-2019

ermongroup / ncsn

zhangxiaosong18 / FreeAnchor

lrjconan / GRAN

White-Link / UnsupervisedScalableRepresentationLearningTimeSeries

ds4dm / learn2branch

bknyaz / graph_attention_pool

cmu-mlsp / reconstructing_faces_from_voices

Xharlie / DISN

zhou13 / neurvps

gengshan-y / VCN

apple / ml-multiple-futures-prediction

Cyanogenoid / dspn

kamwoh / DeepIPR

BlackHC / batchbald_redux

apple / ml-data-parameters

layer6ai-labs / GSS

husthuaan / AAT

varungohil / Generalizing-Lottery-Tickets

apple / ml-afv

sreyas-mohan / DeepFreq

agadetsky / pytorch-pl-variance-reduction

ESanchezLozano / SAIC-Unsupervised-landmark-detection-NeurIPS2019

choyingw / CFCNet

yashbhalgat / QualcommAI-MicroNet-submission-MixNet

d-li14 / condconv.pytorch

petosa / multiplayer-alphazero

wy1iu / NSL

divyat09 / cf-feasibility

WellyZhang / CoPINet

Kthyeon / KAIST-AI-NeurIPS2019-MicroNet-2nd-place-solution

tesslerc / GAC

cshjin / gnn_in_neurips_2019

zju-vipa / TransferbilityFromAttributionMaps

BBVA / UMAL

Lee-Gihun / MicroNet_OSI-AI

Magauiya / Extended_SURE