Alternatives and similar repositories for neural-backed-decision-trees

Users that are interested in neural-backed-decision-trees are comparing it to the libraries listed below

• ankurtaly / Integrated-Gradients
  Attributing predictions made by the Inception network using the Integrated Gradients method
  ☆645Updated 3 years ago
• timgaripov / swa
  Stochastic Weight Averaging in PyTorch
  ☆977Updated 4 years ago
• google-research / mixmatch
  ☆1,146Updated 2 years ago
• MisaOgura / flashtorch
  Visualization toolkit for neural networks in PyTorch! Demo -->
  ☆743Updated 2 years ago
• YyzHarry / imbalanced-semi-self
  [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
  ☆761Updated 4 years ago
• Yonghongwei / Gradient-Centralization
  A New Optimization Technique for Deep Neural Networks
  ☆540Updated 4 years ago
• google-research / augmix
  AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
  ☆988Updated 7 months ago
• DataSystemsGroupUT / AutoML_Survey
  ☆207Updated 6 years ago
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆515Updated 4 years ago
• naszilla / naszilla
  Naszilla is a Python library for neural architecture search (NAS)
  ☆315Updated 3 years ago
• google-research / noisystudent
  Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
  ☆765Updated 4 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆165Updated 3 years ago
• kimhc6028 / soft-decision-tree
  pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
  ☆302Updated 7 years ago
• BlackHC / BatchBALD
  Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
  ☆247Updated last year
• arcelien / pba
  Efficient Learning of Augmentation Policy Schedules
  ☆508Updated 6 years ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆304Updated 6 years ago
• richardaecn / class-balanced-loss
  Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
  ☆615Updated 4 years ago
• BayesWatch / nas-without-training
  Code for Neural Architecture Search without Training (ICML 2021)
  ☆474Updated 4 years ago
• NVIDIA / runx
  Deep Learning Experiment Management
  ☆641Updated last month
• google / bi-tempered-loss
  Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. https://arxiv.org/pdf/1906.03361.pdf
  ☆147Updated 4 years ago
• mgrankin / over9000
  Over9000 optimizer
  ☆424Updated 3 years ago
• imbue-ai / self_supervised
  A Pytorch-Lightning implementation of self-supervised algorithms
  ☆545Updated 3 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆243Updated 3 years ago
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆626Updated 3 years ago
• sbadirli / GrowNet
  ☆206Updated 4 years ago
• alphadl / lookahead.pytorch
  lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
  ☆338Updated 6 years ago
• paraschopra / bayesian-neural-network-mnist
  Bayesian neural network using Pyro and PyTorch on MNIST dataset
  ☆315Updated 7 years ago
• achaiah / pywick
  High-level batteries-included neural network training library for Pytorch
  ☆403Updated 3 years ago
• uoguelph-mlrg / confidence_estimation
  Learning Confidence for Out-of-Distribution Detection in Neural Networks
  ☆275Updated 7 years ago
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆578Updated 8 months ago