GarrettJenkinson / condor_tensorflowLinks
CONditionals for Ordinal Regression and classification in tensorflow
☆17Updated 3 years ago
Alternatives and similar repositories for condor_tensorflow
Users that are interested in condor_tensorflow are comparing it to the libraries listed below
Sorting:
- Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)☆81Updated this week
 - Ordinal classification with Deep Learning using the CLM☆13Updated 2 years ago
 - Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"☆27Updated 3 years ago
 - TabNet for fastai☆124Updated last month
 - A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.☆56Updated 5 years ago
 - Ordinal regression models in PyTorch☆147Updated 3 years ago
 - Scikit-learn compatible implementation of the Gauss Rank scaling method☆74Updated 2 years ago
 - Implementation of the Rotation Forest by Rodriques et al. 2006☆28Updated last year
 - Multi-target Random Forest implementation that can mix both classification and regression tasks☆27Updated 5 years ago
 - Reliability diagrams, Platt's scaling, isotonic regression☆76Updated 11 years ago
 - ☆26Updated 6 years ago
 - Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
 - Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 3 years ago
 - Keras implementation of a loss function for ordinal categorical crossentropy.☆31Updated 2 years ago
 - Benchmark tabular Deep Learning models against each other and other non-DL techniques☆57Updated 4 years ago
 - Python library for Ceteris Paribus Plots (What-if plots)☆26Updated 4 years ago
 - A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 6 years ago
 - Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.☆121Updated 3 years ago
 - A pytorch implementation of "SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data"☆29Updated 6 years ago
 - Improved TabNet for TensorFlow☆53Updated 3 years ago
 - Preparing continuous features for neural networks with GaussRank☆45Updated 7 years ago
 - scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
 - ☆12Updated 2 years ago
 - A way to use N-Beats in fastai for sequence data☆59Updated 2 years ago
 - Missing Data Imputation Python Library☆35Updated 5 years ago
 - Time Series Forecasting Framework☆41Updated 2 years ago
 - Extension of the awesome XGBoost to linear models at the leaves☆82Updated 6 years ago
 - Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"☆62Updated 2 years ago
 - A bit of everything about text and nlp [IN PROGRESS]☆28Updated 3 years ago
 - An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆104Updated 2 years ago