Alternatives and similar repositories for probability:

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

• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,834Updated last year
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,693Updated last week
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆8,921Updated this week
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,763Updated last year
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,866Updated last month
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,364Updated last month
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,409Updated last week
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,193Updated this week
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,199Updated this week
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,876Updated 3 months ago
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,015Updated last week
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,986Updated last week
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,665Updated last week
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆2,990Updated last week
• bayesian-optimization / BayesianOptimization
  A Python implementation of global optimization with gaussian processes.
  ☆8,120Updated last week
• tensorflow / adanet
  Fast and flexible AutoML with learning guarantees.
  ☆3,461Updated last year
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,323Updated last month
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,323Updated last year
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆4,982Updated last month
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,773Updated 2 months ago
• pymc-devs / pymc4
  (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
  ☆712Updated 3 years ago
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,419Updated 2 weeks ago
• keras-team / autokeras
  AutoML library for deep learning
  ☆9,207Updated 3 months ago
• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆6,421Updated this week
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,384Updated this week
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,944Updated 2 weeks ago
• arviz-devs / arviz
  Exploratory analysis of Bayesian models with Python
  ☆1,663Updated 2 weeks ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,852Updated last year
• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆924Updated 4 years ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,688Updated 2 weeks ago