Alternatives and similar repositories for Auto-PyTorch

Users that are interested in Auto-PyTorch are comparing it to the libraries listed below

• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,125Updated last year
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,080Updated 3 weeks ago
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,313Updated this week
• windmaple / awesome-AutoML
  Curating a list of AutoML-related research, tools, projects and other resources
  ☆894Updated 9 months ago
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,732Updated 2 weeks ago
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,300Updated last week
• dreamquark-ai / tabnet
  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
  ☆2,805Updated 8 months ago
• manujosephv / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,553Updated last week
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,679Updated 2 weeks ago
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆618Updated 2 years ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,532Updated last month
• microsoft / hummingbird
  Hummingbird compiles trained ML models into tensor computation for faster inference.
  ☆3,446Updated this week
• szagoruyko / pytorchviz
  A small package to create visualizations of PyTorch execution graphs
  ☆3,397Updated 6 months ago
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,182Updated last week
• carpedm20 / ENAS-pytorch
  PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
  ☆2,722Updated 2 years ago
• waleedka / hiddenlayer
  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
  ☆1,839Updated last year
• hibayesian / awesome-automl-papers
  A curated list of automated machine learning papers, articles, tutorials, slides and projects
  ☆4,097Updated last year
• optuna / optuna
  A hyperparameter optimization framework
  ☆12,315Updated this week
• LiyuanLucasLiu / RAdam
  On the Variance of the Adaptive Learning Rate and Beyond
  ☆2,552Updated 3 years ago
• microsoft / tensorwatch
  Debugging, monitoring and visualization for Python Machine Learning and Data Science
  ☆3,450Updated last year
• facebook / Ax
  Adaptive Experimentation Platform
  ☆2,531Updated this week
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,762Updated last week
• D-X-Y / Awesome-AutoDL
  Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
  ☆2,298Updated 2 years ago
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,888Updated 3 weeks ago
• optuna / optuna-examples
  Examples for https://github.com/optuna/optuna
  ☆776Updated last month
• catalyst-team / catalyst
  Accelerated deep learning R&D
  ☆3,360Updated 3 weeks ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,356Updated last year
• alvinwan / neural-backed-decision-trees
  Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
  ☆622Updated 2 years ago
• autogluon / autogluon
  Fast and Accurate ML in 3 Lines of Code
  ☆9,154Updated this week
• lessw2020 / Ranger-Deep-Learning-Optimizer
  Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase
  ☆1,200Updated last year