Alternatives and similar repositories for zhusuan

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

• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,045Updated 5 years ago
• kingfengji / gcForest
  This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
  ☆1,311Updated 4 years ago
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,839Updated last year
• jaberg / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆513Updated 11 years ago
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,560Updated 5 years ago
• eyounx / ZOOpt
  A python package of Zeroth-Order Optimization (ZOOpt)
  ☆412Updated 3 years ago
• bioinf-jku / SNNs
  Tutorials and implementations for "Self-normalizing networks"
  ☆1,585Updated 3 years ago
• asappresearch / sru
  Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
  ☆2,101Updated 3 years ago
• melodyguan / enas
  TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
  ☆1,580Updated 6 years ago
• carpedm20 / ENAS-pytorch
  PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
  ☆2,722Updated 2 years ago
• andrewgordonwilson / bayesgan
  Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
  ☆1,016Updated 7 years ago
• floodsung / Meta-Learning-Papers
  Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
  ☆2,638Updated 6 years ago
• aksnzhy / xlearn
  High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and …
  ☆3,096Updated last year
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,883Updated 2 months 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
• markdtw / awesome-architecture-search
  A curated list of awesome architecture search resources
  ☆1,189Updated 4 years ago
• kmkolasinski / deep-learning-notes
  Experiments with Deep Learning
  ☆1,350Updated 2 years ago
• Luolc / AdaBound
  An optimizer that trains as fast as Adam and as good as SGD.
  ☆2,916Updated 2 years ago
• naturomics / CapsNet-Tensorflow
  A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
  ☆3,798Updated 6 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆720Updated 5 years ago
• martinarjovsky / WassersteinGAN
  ☆3,231Updated 6 years ago
• tqchen / tinyflow
  Tutorial code on how to build your own Deep Learning System in 2k Lines
  ☆2,019Updated 6 years ago
• XifengGuo / CapsNet-Keras
  A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
  ☆2,461Updated 5 years ago
• gabrieleangeletti / Deep-Learning-TensorFlow
  Ready to use implementations of various Deep Learning algorithms using TensorFlow.
  ☆959Updated 7 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆890Updated last year
• tmulc18 / Distributed-TensorFlow-Guide
  Distributed TensorFlow basics and examples of training algorithms
  ☆642Updated 6 years ago
• dmlc / minpy
  NumPy interface with mixed backend execution
  ☆1,103Updated 7 years ago
• salesforce / pytorch-qrnn
  PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
  ☆1,260Updated 3 years ago
• Sarasra / models
  Models and examples built with TensorFlow
  ☆2,898Updated 5 years ago
• tensorflow / fold
  Deep learning with dynamic computation graphs in TensorFlow
  ☆1,824Updated 4 years ago