Alternatives and similar repositories for condor_tensorflow

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

• ck37 / coral-ordinal
  Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
  ☆81Updated last month
• ayrna / deep-ordinal-clm
  Ordinal classification with Deep Learning using the CLM
  ☆13Updated 2 years ago
• joshloyal / RotationForest
  Implementation of the Rotation Forest by Rodriques et al. 2006
  ☆28Updated last year
• EthanRosenthal / spacecutter
  Ordinal regression models in PyTorch
  ☆146Updated 3 years ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• Raschka-research-group / corn-ordinal-neuralnet
  Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"
  ☆27Updated 3 years ago
• chl8856 / survITE
  SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
  ☆19Updated 3 years ago
• closest-git / LiteMORT
  A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
  ☆57Updated 5 years ago
• JHart96 / keras_ordinal_categorical_crossentropy
  Keras implementation of a loss function for ordinal categorical crossentropy.
  ☆31Updated 2 years ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆26Updated 5 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆21Updated 4 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 3 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• david-cortes / costsensitive
  (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
  ☆48Updated 4 months ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated 2 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 11 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• Yu-Group / iterative-Random-Forest
  Python implementation of iterative-random-forests
  ☆67Updated last year
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆68Updated last year
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 4 months ago
• jrzaurin / infinitoml
  ☆12Updated 2 years ago
• CyberZHG / keras-lookahead
  Lookahead mechanism for optimizers in Keras.
  ☆50Updated 4 years ago
• ComputationalMedicineLab / patient2vec
  Embedding Complexity In the Data Representation Instead of In the Model (arXiv:1802.04233)
  ☆24Updated 7 years ago
• alexfields / multiisotonic
  Multidimensional isotonic regression
  ☆28Updated 8 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆82Updated 6 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 4 years ago
• davpinto / fastknn
  Fast k-Nearest Neighbors Classifier for Large Datasets
  ☆69Updated 7 years ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆61Updated 10 months ago
• zimmerrol / keras-utility-layer-collection
  Collection of custom layers and utility functions for Keras which are missing in the main framework.
  ☆62Updated 5 years ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆25Updated 4 years ago