Alternatives and similar repositories for Ax

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

• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,434Updated last week
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,137Updated 7 months ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,817Updated last month
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,576Updated last week
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆3,152Updated 2 weeks ago
• facebookresearch / hiplot
  HiPlot makes understanding high dimensional data easy
  ☆2,802Updated last year
• uber / petastorm
  Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet f…
  ☆1,870Updated 2 weeks ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,364Updated last year
• dragonfly / dragonfly
  An open source python library for scalable Bayesian optimisation.
  ☆894Updated 2 years ago
• microsoft / hummingbird
  Hummingbird compiles trained ML models into tensor computation for faster inference.
  ☆3,518Updated 5 months ago
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,209Updated 2 weeks ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,805Updated last year
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,943Updated 5 months ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,897Updated 7 months ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,603Updated 2 months ago
• google / edward2
  A simple probabilistic programming language.
  ☆705Updated 3 months ago
• uncertainty-toolbox / uncertainty-toolbox
  Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
  ☆1,961Updated 9 months ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,747Updated last week
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,461Updated last year
• google / gin-config
  Gin provides a lightweight configuration framework for Python
  ☆2,145Updated 3 months ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆950Updated 2 years ago
• tensorly / tensorly
  TensorLy: Tensor Learning in Python.
  ☆1,650Updated last month
• google / vizier
  Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
  ☆1,619Updated 2 weeks ago
• EmuKit / emukit
  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…
  ☆643Updated 2 weeks ago
• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆6,992Updated last week
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,145Updated last week
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆2,137Updated this week
• replicate / keepsake
  Version control for machine learning
  ☆1,672Updated 10 months ago
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,722Updated 2 weeks ago
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,437Updated 4 months ago