Alternatives and similar repositories for BiDNN

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

• shagunsodhani / pregel
  Tensorflow implementation of Graph Convolutional Network
  ☆77Updated 4 years ago
• ryankiros / multimodal-neural-language-models
  A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)
  ☆55Updated 8 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆72Updated 7 years ago
• hycis / transfer_learning
  Mozi, Transfer Learning, Multi-Modal Learning, Theano
  ☆27Updated 9 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 8 years ago
• bernard24 / Embarrassingly-simple-ZSL
  This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot l…
  ☆68Updated 9 years ago
• shamidreza / deepcca
  a python code for deep canonical correlation analysis (dcca) written using numpy
  ☆37Updated 4 years ago
• imatge-upc / vqa-2016-cvprw
  Visual question answering for CVPR16 VQA Challenge.
  ☆41Updated 8 years ago
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆55Updated 8 years ago
• Unbabel / sparsemax
  ☆9Updated 9 years ago
• ankitkv / SentimentVAE
  Deep generative model for sentiment analysis
  ☆34Updated 8 years ago
• mganjoo / zslearning
  Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.
  ☆54Updated 11 years ago
• apsarath / CorrNet
  ☆51Updated 9 years ago
• douwekiela / mmfeat
  Multi-modal features toolkit in Python
  ☆80Updated 6 years ago
• lipiji / variational-autoencoder-theano
  Variational Autoencoders (VAEs) in Theano for Images and Text
  ☆54Updated 7 years ago
• gokceneraslan / SparseMax.torch
  Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"
  ☆55Updated 8 years ago
• yufengm / Deep-Learning-Notes
  Notes for Deep Learning Papers
  ☆19Updated 6 years ago
• janericlenssen / noise-as-targets-tensorflow
  Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…
  ☆23Updated 8 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 8 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 9 years ago
• mjhucla / mRNN-CR
  ☆78Updated 8 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• mjhucla / P-Multimodal-Dataset-Toolbox
  ☆69Updated 6 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 3 years ago
• danieldjohnson / gated-graph-transformer-network
  Code to accompany the paper "Learning Graphical State Transitions"
  ☆171Updated 8 years ago
• DanielSlater / Net2Net
  numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641
  ☆53Updated 9 years ago
• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆40Updated 8 years ago
• shreyassaxena / convolutional-neural-fabrics
  Architecture learning for CNN's
  ☆37Updated 8 years ago
• louishenrifranc / attention
  Attention is All You Need in Sonnet
  ☆38Updated 7 years ago