Alternatives and similar repositories for edward

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

• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,468Updated 5 months ago
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,843Updated last month
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,368Updated last week
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,560Updated 5 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,887Updated 2 months ago
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,338Updated this week
• thu-ml / zhusuan
  A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
  ☆2,223Updated 2 years ago
• pgmpy / pgmpy
  Python Library for Causal and Probabilistic Modeling using Bayesian Networks
  ☆3,023Updated last week
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,393Updated 8 years ago
• tensorflow / fold
  Deep learning with dynamic computation graphs in TensorFlow
  ☆1,823Updated 4 years ago
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆9,175Updated last week
• clab / dynet
  DyNet: The Dynamic Neural Network Toolkit
  ☆3,431Updated last year
• bioinf-jku / SNNs
  Tutorials and implementations for "Self-normalizing networks"
  ☆1,586Updated 3 years ago
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,326Updated this week
• dennybritz / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆4,420Updated 7 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,788Updated last year
• Lasagne / Lasagne
  Lightweight library to build and train neural networks in Theano
  ☆3,862Updated 3 years ago
• google-deepmind / dnc
  A TensorFlow implementation of the Differentiable Neural Computer.
  ☆2,517Updated 4 years ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,460Updated 3 months ago
• google-deepmind / learning-to-learn
  Learning to Learn in TensorFlow
  ☆4,064Updated 4 years ago
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆877Updated 5 years ago
• eBay / bayesian-belief-networks
  Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…
  ☆1,134Updated 4 years ago
• aigamedev / scikit-neuralnetwork
  Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
  ☆1,207Updated 4 years ago
• probml / pmtk3
  Probabilistic Modeling Toolkit for Matlab/Octave.
  ☆1,562Updated 4 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆698Updated last month
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,969Updated 2 months ago
• google / prettytensor
  Pretty Tensor: Fluent Networks in TensorFlow
  ☆1,229Updated 5 years ago
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,439Updated last year
• dmlc / minpy
  NumPy interface with mixed backend execution
  ☆1,103Updated 7 years ago
• tensorflow / skflow
  Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
  ☆3,171Updated 3 years ago