Alternatives and similar repositories for OnlineLearning_BasicAlgorithm

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

• massquantity / Class-Imbalance
  《机器学习之类别不平衡问题》文章代码
  ☆47Updated 6 years ago
• chenchiwei / tradaboost
  Transfer learning algorithm TrAdaboost,coded by python
  ☆123Updated 2 years ago
• forecasts-and-nn / n-beats
  N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆23Updated 5 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆45Updated 6 years ago
• winstonll / COPOD
  Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"
  ☆60Updated 4 years ago
• massquantity / Ftrl-FFM
  Field-aware factorization machine (FFM) with FTRL
  ☆46Updated last year
• wangamama / TransferLearning
  instance based Transfer learning, TrAdaboost, mutisource-trAdaBoost regresion
  ☆15Updated 6 years ago
• NathanRxl / concept_drift
  Machine learning project, Master's Data Science, 2017
  ☆10Updated 8 years ago
• loyalzc / transfer_learning
  Transfer Learning JDA and TrAdaboost
  ☆64Updated 7 years ago
• yantijin / Buzz
  Code for *Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE*
  ☆24Updated 5 years ago
• yiqiyu / tradaboost
  The Python implementation of Tradaboost classifier and regressor
  ☆15Updated 7 years ago
• guocheng2025 / FTRL-pytorch
  Implementation of FTRL (Follow the Regularized Leader)
  ☆61Updated 5 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆103Updated 6 years ago
• woxima / 2019iFLYTEK_MachineryLife_Baseline
  ☆20Updated 5 years ago
• leferrad / pyoselm
  A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning
  ☆40Updated 9 months ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆124Updated 6 years ago
• VachelHU / EvoNet
  Time-Series Event Prediction with Evolutionary State Graph, WSDM 2021
  ☆90Updated 4 years ago
• v-mipeng / ClassImbalanceLearning
  This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019
  ☆16Updated 6 years ago
• Luodian / Time-Series-Analysis
  2017-Summer-Term-Study
  ☆24Updated 7 years ago
• DuaneNielsen / DualAttentionSeq2Seq
  Analysis of Time Series data using Seq2Seq LSTM and 2 attention layers
  ☆16Updated 7 years ago
• surajiyer / Transfer-learning-with-TrAdaBoost
  Scikit-learn style implementation of TrAdaBoost algorithm
  ☆36Updated 7 years ago
• Luoyonghong / E2EGAN
  ☆83Updated 5 years ago
• zzzace2000 / dropout-feature-ranking
  ☆31Updated 6 years ago
• SpongebBob / tabular_automl_NNI
  PAKDD AutoML challenge 2nd Feature Engineering Part
  ☆70Updated 4 years ago
• leichaocn / graph_representation_learning
  ☆37Updated 5 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated 6 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• yuconan / kddcup2021
  KDD CUP 2021 Multi-dataset Time Series Anomaly Detection
  ☆29Updated 4 years ago
• PanpanZheng / OCAN
  ☆53Updated 4 years ago
• SY575 / DF-Early-warning-of-the-wind-power-system
  ☆101Updated 6 years ago