Alternatives and similar repositories for probability

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

• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,835Updated last month
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,837Updated last year
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆9,175Updated this week
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,886Updated 2 months ago
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,509Updated last week
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,469Updated 5 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,788Updated last year
• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,638Updated last year
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,899Updated 8 months ago
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,335Updated this week
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,112Updated 2 months ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,877Updated last year
• pgmpy / pgmpy
  Python Library for Causal and Probabilistic Modeling using Bayesian Networks
  ☆3,023Updated this week
• pymc-devs / pymc4
  (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
  ☆712Updated 3 years ago
• arviz-devs / arviz
  Exploratory analysis of Bayesian models with Python
  ☆1,713Updated last week
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,332Updated this week
• tensorflow / adanet
  Fast and flexible AutoML with learning guarantees.
  ☆3,458Updated last year
• facebook / Ax
  Adaptive Experimentation Platform
  ☆2,559Updated this week
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,756Updated last week
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,053Updated 2 months ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,520Updated this week
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆3,078Updated 2 weeks ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,095Updated last week
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,767Updated last month
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,321Updated 8 months ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,357Updated last year
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,559Updated 5 years ago
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,370Updated 6 months ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,772Updated 4 months ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,459Updated 2 months ago