Alternatives and similar repositories for Auto-PyTorch

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

• windmaple / awesome-AutoML
  Curating a list of AutoML-related research, tools, projects and other resources
  ☆903Updated 2 months ago
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,386Updated last week
• meta-pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,448Updated last week
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,146Updated last year
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,747Updated 3 weeks ago
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,125Updated 5 months ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,124Updated last week
• catalyst-team / catalyst
  Accelerated deep learning R&D
  ☆3,362Updated 4 months ago
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,709Updated 2 weeks ago
• dreamquark-ai / tabnet
  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
  ☆2,863Updated last year
• waleedka / hiddenlayer
  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
  ☆1,851Updated last year
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,201Updated this week
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆625Updated 3 years ago
• szagoruyko / pytorchviz
  A small package to create visualizations of PyTorch execution graphs
  ☆3,445Updated 10 months ago
• hibayesian / awesome-automl-papers
  A curated list of automated machine learning papers, articles, tutorials, slides and projects
  ☆4,121Updated last year
• 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)
  ☆2,319Updated 3 years ago
• Lightning-AI / torchmetrics
  Machine learning metrics for distributed, scalable PyTorch applications.
  ☆2,352Updated this week
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,340Updated 2 weeks ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,503Updated 3 weeks ago
• facebook / Ax
  Adaptive Experimentation Platform
  ☆2,597Updated this week
• carpedm20 / ENAS-pytorch
  PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
  ☆2,724Updated 2 years ago
• D-X-Y / AutoDL-Projects
  Automated deep learning algorithms implemented in PyTorch.
  ☆1,581Updated 3 years ago
• alvinwan / neural-backed-decision-trees
  Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
  ☆621Updated 2 years ago
• microsoft / tensorwatch
  Debugging, monitoring and visualization for Python Machine Learning and Data Science
  ☆3,460Updated last month
• Lightning-AI / deep-learning-project-template
  Pytorch Lightning code guideline for conferences
  ☆1,280Updated 2 years ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,571Updated 2 weeks ago
• facebookresearch / vissl
  VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
  ☆3,292Updated last year
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,561Updated 5 years ago
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,985Updated last week
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,359Updated last year