Alternatives and similar repositories for csdnn

Users that are interested in csdnn are comparing it to the libraries listed below

• Albertsr / Class-Imbalance
  Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
  ☆110Updated 5 years ago
• leibinghe / GAAL-based-outlier-detection
  GAAL-based Outlier Detection
  ☆134Updated 3 years ago
• oyxhust / wgan-gp-anomaly
  gan, wgan-gp, anomaly detection, unsupervised, pytorch
  ☆129Updated 6 years ago
• zhangyaqi1989 / Ensemble-Methods-for-Image-Classification
  In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…
  ☆99Updated 7 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆47Updated 6 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated 2 months ago
• LiangjunFeng / Tri-training
  The python implementation of tri-triaing
  ☆51Updated 6 years ago
• raghavchalapathy / Deep-Learning-for-Anomaly-Detection-A-Survey
  This paper is continuously updated with deep anomaly detection methods and their applications
  ☆104Updated 6 years ago
• asahi417 / DeepDomainAdaptation
  Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…
  ☆26Updated 6 years ago
• Isilendil / OSTL
  Online Semi-supervised Learning + Online Heterogeneous Transfer Learning
  ☆30Updated 10 years ago
• wblgers / tensorflow_stacked_denoising_autoencoder
  Implementation of the stacked denoising autoencoder in Tensorflow
  ☆206Updated 7 years ago
• hosseinshn / Basic-Multi-task-Learning
  This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
  ☆137Updated 7 years ago
• mahdiabavisani / DSRC
  Tensorflow implementation of "Deep sparse representation-based classification"
  ☆45Updated 6 years ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆41Updated 5 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• chenchiwei / tradaboost
  Transfer learning algorithm TrAdaboost,coded by python
  ☆126Updated 3 years ago
• AngryCarrot / JDA
  Joint Distribution Adaptation ICCV2013
  ☆15Updated 8 years ago
• mridul-sachan / OneClassSVM
  A one class svm implementation to detect the anomalies in network.
  ☆25Updated 8 years ago
• Tigeryang93 / cnn-with-xgboost
  This repository is codeabout cnn with xgboost
  ☆31Updated 7 years ago
• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆129Updated 4 years ago
• lukasruff / Deep-SVDD
  Repository for the Deep One-Class Classification ICML 2018 paper
  ☆259Updated 7 years ago
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆241Updated 3 years ago
• ZhiningLiu1998 / self-paced-ensemble
  [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
  ☆262Updated last year
• hiram64 / ocsvm-anomaly-detection
  anomaly detection by one-class SVM
  ☆89Updated 6 years ago
• cainsmile / GA_for_Feature_Selection
  使用遗传算法结合决策树做特征选择/Using genetic algorithm for feature selection with decision tree
  ☆25Updated 7 years ago
• tnakae / DAGMM
  DAGMM Tensorflow implementation
  ☆180Updated 2 years ago
• jadhavhninad / Sparse_autoencoder
  Implementing sparse autoencoder for MNIST data classification using keras and tensorflow
  ☆23Updated 7 years ago
• danielgy / Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning
  ☆190Updated 8 years ago
• JaimeTang / PyTorch-and-TransferLearning
  基于PyTorch使用迁移学习完成项目
  ☆61Updated 7 years ago
• samyak24jain / FuzzyCMeans
  A Python 2 implementation of Fuzzy C Means Clustering algorithm.
  ☆54Updated 5 years ago