Alternatives and similar repositories for ClassImbalanceRedux:

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

• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 7 years ago
• aatapa / RLScore
  ☆67Updated last year
• yaringal / CLGP
  Categorical Latent Gaussian Process
  ☆16Updated 9 years ago
• EESI / PyFeast
  A Python interface to the Feature Selection Toolkit, contains JMI, BetaGamma, CMIM, CondMI, DISR, ICAP, and mRMR
  ☆19Updated 10 years ago
• pfnet-research / bayesgrad
  BayesGrad: Explaining Predictions of Graph Convolutional Networks
  ☆63Updated 3 years ago
• bioinf-jku / binet
  Deep Learning package for Python
  ☆25Updated 6 years ago
• fabriziocosta / GraphLearn
  Learn how to construct graphs given representative examples
  ☆14Updated 3 years ago
• andrewclegg / mondrianforest
  Code for "Mondrian Forests: Efficient Online Random Forests"
  ☆20Updated 10 years ago
• claesenm / resvm
  Robust Ensemble of SVMs
  ☆21Updated 10 years ago
• GUR9000 / KerasNeuralFingerprint
  Keras-based implementation of neural fingerprints, operating on molecular graphs of arbitrary size
  ☆24Updated 8 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• SeongokRyu / Molecular-GAT
  Molecular-GAT
  ☆21Updated 6 years ago
• pfnet-research / hierarchical-molecular-learning
  Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)
  ☆14Updated 6 years ago
• nlml / tsne_raw
  Implementation of Symmetric SNE and t-SNE in numpy and python
  ☆75Updated 3 years ago
• gmum / mlls2015
  Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015
  ☆16Updated 8 years ago
• sramirez / fast-mRMR
  An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
  ☆83Updated 2 years ago
• beamandrew / BNN
  Bayesian Neural Networks
  ☆43Updated 10 years ago
• trangptm / HighwayNetwork
  For training very deep networks
  ☆10Updated 7 years ago
• spoilt333 / onco-aae
  ☆53Updated 7 years ago
• ramarlina / som
  Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
  ☆21Updated 12 years ago
• jaak-s / macau
  Bayesian Factorization with Side Information in C++ with Python wrapper
  ☆41Updated 3 years ago
• msultan / vde_metadynamics
  Enhanced protein mutational sampling using time-lagged variational autoencoders
  ☆29Updated 6 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• bellal89 / RankingFeatureSelection
  Feature selection algorithms for learning to rank
  ☆9Updated 11 years ago
• shionhonda / dgl-playground
  Misc. codes for DGL practice
  ☆9Updated 5 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• oulenz / fuzzy-rough-learn
  A library of fuzzy rough machine learning algorithms
  ☆29Updated this week
• ej0cl6 / csmlc
  Cost-Sensitive Multi-Label Classification
  ☆19Updated 7 years ago
• fhuszar / thesis
  my PhD thesis on Bayesian inference
  ☆27Updated 11 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 10 years ago