Alternatives and similar repositories for PCA-versus-AE

Users that are interested in PCA-versus-AE are comparing it to the libraries listed below

• waylongo / Gans-for-anomaly-detection
  Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data
  ☆13Updated 6 years ago
• nmuralid1 / DynamicAttentionNetworks
  Dynamic Attention Networks For Time Series State Forecasting in Cyber Physical Systems
  ☆10Updated 5 years ago
• ashishpatel26 / PSO-TF2
  PSO On neural Network and LSTM
  ☆19Updated 3 years ago
• rtavenar / LDPS
  Learning DTW-Preserving Shapelets
  ☆23Updated last year
• tlatkowski / tf-feature-selection
  Implementation of various feature selection methods using TensorFlow library.
  ☆9Updated 2 years ago
• jeanjerome / semisupervised_timeseries_infogan
  A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…
  ☆29Updated 6 years ago
• tankwin08 / ensemble-models-ML-DL-
  Ensemble models, machine learning, deep learning, optimization
  ☆13Updated 4 years ago
• sydney-machine-learning / GANclassimbalanced
  GANs for class imbalanced problems
  ☆28Updated 2 years ago
• bvshyam / ctgan_tabular_data
  Creating tabular GAN on credit card dataset
  ☆20Updated 5 years ago
• bgokden / anomaly-detection-with-autoencoders
  Anamoly Detection with Autoencoders - Credit Card Fraud Case
  ☆16Updated 4 years ago
• Koldh / LearnableGroupTransform-TimeSeries
  ☆8Updated 4 years ago
• YanzhangIloveme / Adaptive-Feature-Weighted-K-Means
  This algorithm is based on the paper 'K-Means clustering algorithm Based on Adapative Feature Weighted'
  ☆29Updated 5 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated 6 years ago
• zhao62 / Adaptively-Parametric-ReLU
  The adaptively parametric ReLU is an activation function that performs non-identically for input samples.
  ☆15Updated 5 years ago
• KurochkinAlexey / Self-boosted-Time-series-Forecasting
  Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…
  ☆31Updated 5 years ago
• dtneves / ICCS_2021
  Codebase for "SGAIN, WSGAIN-CP and WSGAIN-GP: Novel GAN Methods for Missing Data Imputation"
  ☆16Updated 3 years ago
• freedombenLiu / RNN-Time-series-Anomaly-Detection
  ☆20Updated 6 years ago
• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 4 years ago
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 3 years ago
• aflyingpig0226 / feature-engineering
  机器学习的特征工程，包括特征抽取、特征预处理、特征选择、特征降维。
  ☆25Updated 6 years ago
• yuconan / kddcup2021
  KDD CUP 2021 Multi-dataset Time Series Anomaly Detection
  ☆29Updated 4 years ago
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 3 years ago
• artemik / fuzzy-neural-network-tsk
  Fuzzy Neural Network TSK (Takagi-Sugeno-Kang) with hybrid training and C-Means clustering.
  ☆7Updated 7 years ago
• LiamMaclean216 / Pytorch-Chatbot
  ☆18Updated 4 years ago
• husnejahan / Temporal-CNN
  Probabilistic Forecasting with Temporal Convolutional Neural Network
  ☆11Updated 5 years ago
• laiadc / PFM_Bearing_Fault_Detection
  ☆13Updated 4 years ago
• mohanrajmit / DL-Training
  jupyter notebook for mnist digit recognition using CNN, CNN feature map visualization and facical expression recognition
  ☆9Updated 9 months ago
• Exp-Time-Series-Tools / Ms-CNN
  Multi-Scale Convolutional Neural Network for Time Series Classification (MCNN)
  ☆23Updated 5 years ago
• titu1994 / Adversarial-Attacks-Time-Series
  Codebase for the paper "Adversarial Attacks on Time Series"
  ☆22Updated 6 years ago
• mabalam / feature_selection
  ☆25Updated 3 years ago