ck37 / coral-ordinal

Related projects ⓘ

Alternatives and complementary repositories for coral-ordinal

• Raschka-research-group / coral-pytorch
  CORAL and CORN implementations for ordinal regression with deep neural networks.
  ☆224Updated last year
• GarrettJenkinson / condor_tensorflow
  CONditionals for Ordinal Regression and classification in tensorflow
  ☆17Updated 2 years ago
• EmjayAhn / SuperTML-pytorch
  A pytorch implementation of "SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data"
  ☆28Updated 5 years ago
• Raschka-research-group / corn-ordinal-neuralnet
  Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"
  ☆24Updated 2 years ago
• anonICLR2020 / node
  ☆26Updated 5 years ago
• ptuls / tabnet-modified
  Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
  ☆60Updated last year
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆123Updated 7 months ago
• aldente0630 / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆30Updated 3 years ago
• EthanRosenthal / spacecutter
  Ordinal regression models in PyTorch
  ☆137Updated 2 years ago
• ai-fast-track / timeseries
  Time Series package for fastai v2
  ☆94Updated last year
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆76Updated last year
• 4uiiurz1 / keras-cosine-annealing
  Keras implementation of Cosine Annealing Scheduler
  ☆44Updated 4 years ago
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆312Updated 2 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 3 years ago
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆212Updated 3 months ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆62Updated 2 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆66Updated 3 years ago
• AlliedToasters / dfencoder
  ☆129Updated 2 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆71Updated 8 months ago
• TannerGilbert / Model-Interpretation
  Overview of different model interpretability libraries.
  ☆46Updated 2 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆94Updated last month
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 4 years ago
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆239Updated last year
• mvaldenegro / keras-uncertainty
  Utilities to perform Uncertainty Quantification on Keras Models
  ☆113Updated 8 months ago
• sayakpaul / SimCLR-in-TensorFlow-2
  (Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
  ☆90Updated 3 years ago
• muellerzr / fastai_saint
  Example of using the SAINT architecture in fastai
  ☆12Updated 3 years ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆51Updated 2 years ago
• AnotherSamWilson / fastshap
  Batch shap calculations.
  ☆31Updated last year
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated last year