Alternatives and similar repositories for hypergrad

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

• casperkaae / parmesan
  Variational and semi-supervised neural network toppings for Lasagne
  ☆209Updated 9 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 6 years ago
• HIPS / Probabilistic-Backpropagation
  Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
  ☆192Updated 6 years ago
• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆143Updated 8 years ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆136Updated 4 years ago
• mila-iqia / platoon
  Multi-GPU mini-framework for Theano
  ☆196Updated 7 years ago
• BRML / climin
  Optimizers for machine learning
  ☆183Updated last year
• yaoli / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆318Updated 9 years ago
• IoannisAntonoglou / optimBench
  Benchmark testbed for assessing the performance of optimisation algorithms
  ☆82Updated 10 years ago
• siemanko / tf-adversarial
  Adversarial networks in TensorFlow
  ☆171Updated 8 years ago
• yburda / iwae
  Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
  ☆206Updated 9 years ago
• dblN / stochastic_depth_keras
  Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382
  ☆139Updated 5 years ago
• DoctorTeeth / diffmem
  Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)
  ☆220Updated 9 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago
• lmjohns3 / downhill
  Stochastic gradient routines for Theano
  ☆103Updated 7 years ago
• jiamings / fast-weights
  Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
  ☆172Updated 8 years ago
• JianGoForIt / YellowFin_Pytorch
  auto-tuning momentum SGD optimizer
  ☆288Updated 6 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago
• AI-ON / ai-on.org
  AI•ON projects repository and website source.
  ☆218Updated 7 years ago
• hyperopt / hyperopt-convnet
  Convolutional computer vision architectures that can be tuned by hyperopt.
  ☆72Updated 11 years ago
• hindupuravinash / nips2016
  A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
  ☆223Updated 8 years ago
• phreeza / keras-GAN
  Generative Adversarial Networks with Keras
  ☆156Updated 4 years ago
• sklearn-theano / sklearn-theano
  Scikit-learn compatible tools using theano
  ☆363Updated 8 years ago
• soumith / net2net.torch
  Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.
  ☆158Updated 8 years ago
• Sohl-Dickstein / Sum-of-Functions-Optimizer
  Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.
  ☆127Updated 4 years ago
• CuriousAI / tagger
  Deep Unsupervised Perceptual Grouping
  ☆131Updated 4 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆147Updated 5 years ago
• mrkulk / Unsupervised-Capsule-Network
  Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf
  ☆170Updated 7 years ago
• glample / rnn-benchmarks
  Benchmarks for several RNN variations with different deep-learning frameworks
  ☆171Updated 6 years ago
• rinuboney / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
  ☆242Updated 8 years ago