casperkaae / parmesan

Related projects: ⓘ

• yburda / iwae
  Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
  ☆203Updated 8 years ago
• yaoli / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆317Updated 8 years ago
• jych / cle
  ☆89Updated 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 7 years ago
• mikesj-public / convolutional_autoencoder
  Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
  ☆168Updated 7 years ago
• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆129Updated 7 years ago
• lmjohns3 / downhill
  Stochastic gradient routines for Theano
  ☆102Updated 6 years ago
• HIPS / hypergrad
  Exploring differentiation with respect to hyperparameters
  ☆295Updated 8 years ago
• fastforwardlabs / vae-tf
  repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs
  ☆99Updated 7 years ago
• benanne / morb
  Modular Restricted Boltzmann Machine (RBM) implementation using Theano
  ☆172Updated 11 years ago
• Enny1991 / PLSTM
  ☆137Updated 7 years ago
• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆109Updated 7 years ago
• phreeza / keras-GAN
  Generative Adversarial Networks with Keras
  ☆156Updated 3 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 6 years ago
• jxwufan / AssociativeRetrieval
  ☆140Updated this week
• DoctorTeeth / diffmem
  Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)
  ☆220Updated 8 years ago
• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆143Updated 7 years ago
• mila-iqia / platoon
  Multi-GPU mini-framework for Theano
  ☆195Updated 6 years ago
• davidBelanger / SPEN
  Structured Prediction Energy Networks in Torch
  ☆131Updated 7 years ago
• ludc / rltorch
  ☆169Updated this week
• ryankiros / layer-norm
  Code and models from the paper "Layer Normalization"
  ☆245Updated 7 years ago
• mpezeshki / Recurrent-Neural-Networks
  Recurrent Neural Network for modeling sequential data implemented using Python and Theano.
  ☆91Updated 9 years ago
• an-kumar / caffe-theano-conversion
  ☆88Updated 9 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.
  ☆160Updated 7 years ago
• siemanko / tf-adversarial
  Adversarial networks in TensorFlow
  ☆169Updated 7 years ago
• JianGoForIt / YellowFin_Pytorch
  auto-tuning momentum SGD optimizer
  ☆287Updated 5 years ago
• BRML / climin
  Optimizers for machine learning
  ☆179Updated last year
• bshillingford / autobw.torch
  ☆62Updated 9 years ago
• coreylynch / grid-lstm
  Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf
  ☆188Updated 8 years ago
• boulanni / theano-hf
  General purpose Hessian-free optimization in Theano
  ☆181Updated 10 years ago