Alternatives and similar repositories for OnlineBoostingWithVFDT:

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

• NikhilGupta1997 / LookOut
  Beyond Outlier Detection: LookOut for Pictorial Explanation
  ☆26Updated 6 years ago
• cmuxstream / cmuxstream-core
  Static (Python) and streaming (C++) implementations of xStream (KDD 2018).
  ☆30Updated 6 years ago
• vatsalsharan / pidforest
  Code for the PIDForest algorithm for anomaly detection
  ☆28Updated 5 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆26Updated 8 years ago
• chaitanya-m / kdd2018
  Files submitted to kdd2018 for EFDT paper
  ☆22Updated 6 years ago
• ninghaohello / Interpretation2Adversary
  Adversarial learning by utilizing model interpretation
  ☆10Updated 6 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• ixxi-dante / an2vec
  Bringing node2vec and word2vec together for cool stuff
  ☆22Updated 5 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆43Updated 6 years ago
• pankajk / Deep-Graph-Kernels
  Deep Graph Kernels
  ☆13Updated 9 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆18Updated 8 years ago
• lethaiq / GRACE_KDD20
  GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …
  ☆21Updated 4 years ago
• yaringal / keras
  ☆12Updated 6 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 4 years ago
• eyounx / ASG
  Open category classification by adversarial sample generation
  ☆20Updated 4 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 10 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 2 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 6 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 7 years ago
• nicococo / tilitools
  [ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output predict…
  ☆44Updated 6 years ago
• kuleshov / online-learning
  A few basic online learning algorithms
  ☆25Updated 3 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆10Updated 5 years ago
• charliermarsh / online_boosting
  A suite of boosting algorithms for the online learning setting.
  ☆65Updated 7 years ago
• levelfour / SU_Classification
  Implementation for "Classification from Pairwise Similarity and Unlabeled Data"
  ☆27Updated 4 years ago
• vwz / SPE
  Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network
  ☆13Updated 7 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 7 years ago
• augboost-anon / augboost
  Gradient Boosting Enhanced with Step-Wise Feature Augmentation
  ☆16Updated 4 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated 9 months ago