Nekodemo911

Nekodemo911's Stars

• wangych6/Deep_Learning_Recommendation_System_Algorithm

  对推荐广告中，序列推荐、多任务推荐、跨域推荐、冷启动等方向主要算法学习笔记。

  Language:Python102

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.5k3.8k

• NeuEIRG/OTL-

  在线迁移学习算法实现

  Language:Python201

• levelsetbox/-transfer-learning-regression

  a sample learning algorithm based on TrAdaBoost for regression using remote sensing data and few samples from both time-domain

  Language:Python3

• Bin-Cao/TrAdaboost

  The transfer learning code for understanding and teaching : Boosting for transfer learning with single / multiple source(s)

  Language:Python358

• qingluM/CDAR

  The source code for "Deep transfer learning for conditional shift in regression"

  Language:Python163

• MarkusRosen/keras-efficientnet-regression

  Apply transfer learning of EfficientNet to a custom regression problem with Keras and TensorFlow 2.

  Language:Python3319

• Smart-Objects/Impact-Events-Dataset

  This repository contains a novel time-series dataset for impact detection and localization on a plastic thin-plate, towards Structural Health Monitoring applications, using ceramic piezoelectric transducers (PZTs) connected to an Internet of Things (IoT) device.

  141

• kylemcdonald/Parametric-t-SNE

  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.

  Language:Jupyter Notebook26589

• shm-unesp/DATASET_PLATEUN01

  CONCEPT is a dataset of lamb-wave measured in composite structures in healthy and damaged states. This experiment was conducted at the SHM Lab from UNESP Ilha Solteira.

  Language:Jupyter Notebook245

• PaddlePaddle/PaddleRec

  Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等

  Language:Python4.3k723

• hwalsuklee/tensorflow-mnist-VAE

  Tensorflow implementation of variational auto-encoder for MNIST

  Language:Python493182

• AmanPriyanshu/Deep-Belief-Networks-in-PyTorch

  The aim of this repository is to create RBMs, EBMs and DBNs in generalized manner, so as to allow modification and variation in model types.

  Language:Python5718

• vewald/DeepSHM

  Perception Modelling by Invariant Representation of Deep Learning for Automated Structural Diagnostic in Aircraft Maintenance: A Study Case using DeepSHM

  Language:Python92

• brendenlake/omniglot

  Omniglot data set for one-shot learning

  Language:MATLAB1.4k362

• AntreasAntoniou/MatchingNetworks

  An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf

  Language:Python32896

• machrisaa/tensorflow-vgg

  VGG19 and VGG16 on Tensorflow

  Language:Python2.2k1.1k

• mfedoten/reasspectro

  spectrogram reassignment

  Language:Matlab9

• gitabcworld/MatchingNetworks

  This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

  Language:Python32981

• hch-xmu/Aircraft-structural-health-monitoring-based-on-deep-transfer-learning

  深度迁移学习在各行业别广泛应用，该package将基于深度迁移学习对被动式冲击识别问题进行研究

  Language:Python5

• cnielly/prototypical-networks-omniglot

  An implementation of "Prototypical Networks for Few-shot Learning" on a notebook in Pytorch

  Language:Jupyter Notebook5514

• oscarknagg/few-shot

  Repository for few-shot learning machine learning projects

  Language:Python1.2k247

• yaoyao-liu/meta-transfer-learning

  TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

  Language:Python747149

• ndrplz/ConvLSTM_pytorch

  Implementation of Convolutional LSTM in PyTorch.

  Language:Python2k435

• tslgithub/image_class

  基于keras集成多种图像分类模型： VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet

  Language:Python436145

• sinhasam/vaal

  Variational Adversarial Active Learning (ICCV 2019)

  Language:Jupyter Notebook22551