Alternatives and similar repositories for bihm

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

• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆41Updated 9 years ago
• jych / cle
  ☆89Updated 8 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 9 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆44Updated 9 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆30Updated 9 years ago
• mdenil / acdc-torch
  ACDC: A Structured Efficient Linear Layer
  ☆44Updated 9 years ago
• Nat-D / SVAE-Torch
  ☆11Updated 8 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 8 years ago
• google-deepmind / mnist-cluttered
  Cluttered MNIST Dataset
  ☆53Updated 10 years ago
• Smerity / tf-ham
  A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"
  ☆51Updated 9 years ago
• JanTkacik / NTM
  Neural turing machine implementation
  ☆31Updated 10 years ago
• y0ast / Variational-Recurrent-Autoencoder
  Implementation of the VRAE
  ☆60Updated 4 years ago
• mbhenaff / spectral-lib
  ☆45Updated 9 years ago
• kyunghyuncho / skip-thoughts
  ☆23Updated 10 years ago
• willwhitney / understanding-visual-concepts
  Unsupervised learning of visual concepts from video
  ☆56Updated 9 years ago
• vivanov879 / translator
  Torch implementation of Sequence to Sequence Learning with Neural Networks
  ☆24Updated 9 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• ifp-uiuc / an-analysis-of-unsupervised-pre-training-iclr-2015
  Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/a…
  ☆18Updated 9 years ago
• soumith / eyescream
  ☆35Updated 10 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• iassael / torch-policy-gradient
  Deterministic Policy Gradient using torch7
  ☆43Updated 9 years ago
• MarcCote / iRBM
  Train an Infinite Restricted Boltzmann Machine
  ☆28Updated 6 years ago
• pascanur / natgrad
  Natural Gradient implementation in Theano
  ☆19Updated 12 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 8 years ago
• ganeshjawahar / tweet-classify
  Tweet Classification using RNN and CNN
  ☆43Updated 8 years ago
• siemanko / deeprl
  Universal library for deep reinforcement learning.
  ☆38Updated 9 years ago
• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 8 years ago
• cooijmanstim / recurrent-batch-normalization
  ☆64Updated 8 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• iassael / torch-bnlstm
  Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.
  ☆90Updated 9 years ago