Alternatives and similar repositories for DNDT

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

• rtanno21609 / AdaptiveNeuralTrees
  Adaptive Neural Trees
  ☆155Updated 6 years ago
• kimhc6028 / soft-decision-tree
  pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
  ☆302Updated 7 years ago
• jingxil / Neural-Decision-Forests
  An implementation of the Deep Neural Decision Forests in PyTorch
  ☆165Updated 6 years ago
• Jianbo-Lab / L2X
  ☆125Updated 4 years ago
• d909b / cxplain
  Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
  ☆132Updated 5 years ago
• guilgautier / DPPy
  Python toolbox for sampling Determinantal Point Processes
  ☆236Updated last year
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆68Updated last year
• anonICLR2020 / node
  ☆26Updated 6 years ago
• sbadirli / GrowNet
  ☆206Updated 4 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆35Updated 2 years ago
• facebookresearch / SingleModelUncertainty
  Learning error bars for neural network predictions
  ☆72Updated 6 years ago
• hcarlens / pytorch-tabular
  Some examples of using PyTorch for tabular data
  ☆67Updated 5 years ago
• xuyxu / Soft-Decision-Tree
  PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
  ☆105Updated last year
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆64Updated 5 years ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆131Updated 2 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 6 years ago
• benoitdescamps / Neural-Tree
  Tensorflow implementation of a Tree
  ☆35Updated 6 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆194Updated 2 years ago
• wjmaddox / drbayes
  Code Repo for "Subspace Inference for Bayesian Deep Learning"
  ☆83Updated last year
• BlackHC / BatchBALD
  Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
  ☆247Updated last year
• ermongroup / neuralsort
  Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
  ☆148Updated 2 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆96Updated 5 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 4 years ago
• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆138Updated 5 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆175Updated 4 years ago
• amzn / xfer
  Transfer Learning library for Deep Neural Networks.
  ☆257Updated 2 months ago
• probabilistic-learning / HI-VAE
  ☆92Updated 2 years ago
• lucfra / FAR-HO
  Gradient based hyperparameter optimization & meta-learning package for TensorFlow
  ☆190Updated 5 years ago