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semi-supervised-learning

group project for semi-supervised learning

semi-supervised-learning-for-text-classification-using-em-and-multinomial-boolean-na-ve-bayes

Semi-supervised learning for text classification using EM and multinomial boolean naïve Bayes

semi-supervised-learning-logistic-regression

Implemented Semi Supervised Learning with Logistic Regression

semi-supervised-learning-sparseconvnet

SparseConvNet implementation of our paper: "Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning"

semi-supervised-pytorch

Implementations of different VAE-based semi-supervised and generative models in PyTorch

semi-supervised-recursive-autoencoders-for-predicting-sentiment-distributions

Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions

semi-supervised-shapelets-learning

Matlab codes for Semi-Supervised Shapelets Learning

semi-supervisedlearning

Code and Paper List

semi_fs

semi_supervised_multi_label_learning

semi_supervised_music

main function of SS-music

semiautomaticclassificationmanual_v4

semiautomaticclassificationmanual_v5

semirpclus

SemiRPClus is a Semi-supervised Clustering Method on Heterogeneous Information Network

semisup-learn

Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data

semisupervised-hw

Simple Matlab script to play with a few semi-supervised techniques

semisupervised_vae

Replication of Semi-Supervised Learning with Deep Generative Models

semisupervisedtoolkit

sen2cor

Sentinel 2 Level-2A Processor (python project)

senet-caffe

A Caffe Re-Implementation of SENet

senet-for-weakly-supervised-relation-extraction

senet-keras

Naive implementation of SENet in Keras

senet-mxnet

Convert SENet Caffe models to MXNet

senet-pytorch

senet-tensorflow

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

senet-tensorflow-1

Simple Tensorflow implementation of Squeeze Excitation Networks (ResNeXt, Inception-v4, Inception-resnet-v2). Include focal loss, center loss.

senet.mxnet

:fire::fire: A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) :fire::fire:

senet.pytorch

PyTorch implementation of SENet

senet_resnext_remote_sensing_scene_classification

SENet ResNeXt and Resnet for High-resolution Remote Sensing Scene Clasisification

senets

Implementation of SENets by chainer (Squeeze-and-Excitation Networks: https://arxiv.org/abs/1709.01507)