Alternatives and similar repositories for zhusuan

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

• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,841Updated last year
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,561Updated 6 years ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,046Updated 6 years ago
• asappresearch / sru
  Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
  ☆2,113Updated 3 years ago
• kingfengji / gcForest
  This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
  ☆1,313Updated 4 years ago
• eyounx / ZOOpt
  A python package of Zeroth-Order Optimization (ZOOpt)
  ☆412Updated 3 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,894Updated 6 months ago
• zackchase / mxnet-the-straight-dope
  An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorpor…
  ☆2,563Updated 5 years ago
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,428Updated last year
• bioinf-jku / SNNs
  Tutorials and implementations for "Self-normalizing networks"
  ☆1,587Updated this week
• ilkarman / DeepLearningFrameworks
  Demo of running NNs across different frameworks
  ☆1,655Updated 3 years ago
• Luolc / AdaBound
  An optimizer that trains as fast as Adam and as good as SGD.
  ☆2,914Updated 2 years ago
• naturomics / CapsNet-Tensorflow
  A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
  ☆3,795Updated 6 years ago
• melodyguan / enas
  TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
  ☆1,581Updated 6 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆894Updated last year
• jaberg / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆515Updated 11 years ago
• aksnzhy / xlearn
  High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and …
  ☆3,099Updated 2 years ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,560Updated 5 years ago
• tensorflow / fold
  Deep learning with dynamic computation graphs in TensorFlow
  ☆1,823Updated 4 years ago
• kmkolasinski / deep-learning-notes
  Experiments with Deep Learning
  ☆1,352Updated 2 years ago
• andrewgordonwilson / bayesgan
  Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
  ☆1,018Updated 7 years ago
• jaanli / variational-autoencoder
  Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
  ☆1,179Updated last year
• eBay / bayesian-belief-networks
  Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…
  ☆1,139Updated 4 years ago
• salesforce / pytorch-qrnn
  PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
  ☆1,265Updated 3 years ago
• dmlc / minpy
  NumPy interface with mixed backend execution
  ☆1,103Updated 7 years ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,807Updated 2 weeks ago
• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆417Updated 8 years ago
• mila-iqia / welcome_tutorials
  Various tutorials given for welcoming new students at MILA.
  ☆986Updated 7 years ago
• markdtw / awesome-architecture-search
  A curated list of awesome architecture search resources
  ☆1,189Updated 5 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆722Updated 6 years ago