Alternatives and similar repositories for edward:

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

• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,628Updated 2 weeks ago
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,095Updated this week
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,286Updated this week
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,399Updated last week
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆8,827Updated this week
• google-deepmind / sonnet
  TensorFlow-based neural network library
  ☆9,797Updated 2 months ago
• tensorflow / skflow
  Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
  ☆3,177Updated 3 years ago
• NervanaSystems / neon
  Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
  ☆3,870Updated 4 years ago
• tensorflow / fold
  Deep learning with dynamic computation graphs in TensorFlow
  ☆1,823Updated 3 years ago
• thu-ml / zhusuan
  A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
  ☆2,215Updated 2 years ago
• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,790Updated 4 years ago
• clab / dynet
  DyNet: The Dynamic Neural Network Toolkit
  ☆3,426Updated last year
• dennybritz / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆4,419Updated 6 years ago
• google-deepmind / learning-to-learn
  Learning to Learn in TensorFlow
  ☆4,062Updated 3 years ago
• Theano / Theano
  Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays…
  ☆9,914Updated last year
• bioinf-jku / SNNs
  Tutorials and implementations for "Self-normalizing networks"
  ☆1,588Updated 2 years ago
• google / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆2,315Updated 2 years ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,551Updated 5 years ago
• dmlc / minpy
  NumPy interface with mixed backend execution
  ☆1,108Updated 6 years ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,315Updated 3 weeks ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,923Updated 9 months ago
• karpathy / arxiv-sanity-preserver
  Web interface for browsing, search and filtering recent arxiv submissions
  ☆5,169Updated 3 years ago
• tensorflow / lucid
  A collection of infrastructure and tools for research in neural network interpretability.
  ☆4,684Updated last year
• Lasagne / Lasagne
  Lightweight library to build and train neural networks in Theano
  ☆3,850Updated 2 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,857Updated 2 weeks ago
• amaas / stanford_dl_ex
  Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆2,604Updated 3 years ago
• zer0n / deepframeworks
  Evaluation of Deep Learning Frameworks
  ☆2,047Updated 7 years ago
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆877Updated 4 years ago
• google-deepmind / dnc
  A TensorFlow implementation of the Differentiable Neural Computer.
  ☆2,506Updated 3 years ago
• probml / pmtk3
  Probabilistic Modeling Toolkit for Matlab/Octave.
  ☆1,551Updated 3 years ago