ijcnn

There are 0 repository under ijcnn topic.

Ha0Tang / AttentionGAN
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
image-to-image-translation cyclegan unpaired attention-model adversarial-networks pytorch image-generation computer-vision deep-learning gans ijcnn image-translation multi-domain geometry
Language:Python 622
samet-akcay / skip-ganomaly
Source code for Skip-GANomaly paper
anomaly-detection ijcnn novelty-detection pytorch
Language:Python 186
vinodkkurmi / DiscriminatorDomainAdaptation
transfer-learning domain-adaptation classifications adversarial-networks ijcnn domain adversarial-learning adversarial-machine-learning discriminator multilabel-classification
Language:Lua 9
fangvv / MTACP
Code for paper "Deep Reinforcement Learning based Multi-task Automated Channel Pruning for DNNs"
distributed dnn impala multi-task prunning reinforcement-learning-algorithms deep-learning deep-reinforcement-learning neural-networks inference-acceleration network-architecture-search ijcnn nas
Language:Python 2
Fraunhofer-AISEC / DA3D
Double-Adversarial Activation Anomaly Detection
anomaly-detection data-mining generative-adversarial-network it-security unsupervised-learning activation-analysis ijcnn paper activation-anomaly-analysis keras tensorflow2
Language:Python 1
gcunhase / SentenceCorrection-MTGRU-Seq2Seq
Temporal Hierarchies in Sequence to Sequence for Sentence Correction (IJCNN 2018)
seq2seq gru mtgru rnn incomplete-data sentence-correction nlp nlp-machine-learning wmt-15 pos-tag tensorflow wcci wcci2018 ijcnn ijcnn2018
Language:Python 0
indhra / CATS-IJCNN-DATA-2004
CATS IJCNN Data 2004 Competition of Artificial Time Series
cats ijcnn data 2004 time-series artificial
Language:Jupyter Notebook 0
Fraunhofer-AISEC / ARGUE
Anomaly Detection by Recombining Gated Unsupervised Experts
anomaly-detection data-mining deep-learning ijcnn it-security mixture-of-experts paper semi-supervised-learning unsupervised-learning activation-analysis activation-anomaly-analysis keras tensorflow2
Language:Python