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.
  ☆109Updated 4 years ago
• oyxhust / wgan-gp-anomaly
  gan, wgan-gp, anomaly detection, unsupervised, pytorch
  ☆129Updated 6 years ago
• LiangjunFeng / Tri-training
  The python implementation of tri-triaing
  ☆51Updated 6 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆46Updated 6 years ago
• leibinghe / GAAL-based-outlier-detection
  GAAL-based Outlier Detection
  ☆134Updated 3 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 6 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• qiaokangqi / CNN-SVM
  卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html
  ☆15Updated 7 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated 2 weeks 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
  ☆257Updated last year
• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆128Updated 4 years ago
• JaimeTang / PyTorch-and-TransferLearning
  基于PyTorch使用迁移学习完成项目
  ☆61Updated 7 years ago
• Isilendil / OSTL
  Online Semi-supervised Learning + Online Heterogeneous Transfer Learning
  ☆29Updated 10 years ago
• chenchiwei / tradaboost
  Transfer learning algorithm TrAdaboost,coded by python
  ☆125Updated 2 years ago
• SongDark / DTW_AP
  Affinity Propagation Clustering with DTW distance on temporal sequence classification
  ☆20Updated 6 years ago
• GRSEB9S / deepSVDD
  A deep one-class classification based method for the task of high-dimensional anomaly detection for large-scale applications.
  ☆10Updated 8 years ago
• samyak24jain / FuzzyCMeans
  A Python 2 implementation of Fuzzy C Means Clustering algorithm.
  ☆52Updated 5 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
• hosseinshn / Basic-Multi-task-Learning
  This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
  ☆137Updated 7 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
• jadhavhninad / Sparse_autoencoder
  Implementing sparse autoencoder for MNIST data classification using keras and tensorflow
  ☆23Updated 7 years ago
• weepon / feature_selection
  常用的特征选择方法
  ☆68Updated 3 years ago
• mahdiabavisani / DSRC
  Tensorflow implementation of "Deep sparse representation-based classification"
  ☆45Updated 6 years ago
• LiangjunFeng / Broad-Learning-System
  BLS Code
  ☆127Updated 6 years ago
• abhisheksambyal / Autoencoders-using-Pytorch-Medical-Imaging
  Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining
  ☆47Updated 6 years ago
• hiram64 / ocsvm-anomaly-detection
  anomaly detection by one-class SVM
  ☆89Updated 6 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 8 years ago
• danielgy / Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning
  ☆189Updated 7 years ago
• xuman-Amy / preprocessing
  数据预处理之缺失值处理，特征选择
  ☆22Updated 6 years ago
• Alxe1 / FeatureSelectionsAndExtractions
  feature selections and extractions
  ☆88Updated last year