Alternatives and similar repositories for sherpa

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

• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆594Updated 6 years ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆391Updated last year
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆573Updated last month
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 4 years ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆616Updated 2 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆671Updated 2 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 years ago
• szymonmaszke / torchlayers
  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
  ☆570Updated 3 years ago
• chovanecm / sacredboard
  Dashboard for sacred. Monitor and access your past machine learning experiments.
  ☆184Updated 6 years ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆509Updated 2 weeks ago
• vivekratnavel / omniboard
  Web-based dashboard for Sacred
  ☆549Updated 2 years ago
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆245Updated 5 years ago
• pytorchbearer / torchbearer
  torchbearer: A model fitting library for PyTorch
  ☆640Updated last year
• awslabs / adatune
  Gradient based Hyperparameter Tuning library in PyTorch
  ☆290Updated 4 years ago
• google-research / tensorflow_constrained_optimization
  ☆310Updated 3 years ago
• AI-DI / Brancher
  A user-centered Python package for differentiable probabilistic inference
  ☆202Updated 4 years ago
• amarasovic / interpretability-literature
  ☆264Updated 5 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆889Updated last year
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆148Updated 10 months ago
• chaserileyroberts / mltest
  Testing framework to simplify writing ML unit tests.
  ☆347Updated 5 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆485Updated 6 years ago
• suriyadeepan / torchtest
  Unit Testing for pytorch, based on mltest
  ☆310Updated 4 years ago
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆241Updated last year
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆211Updated last week
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago