Alternatives and similar repositories for Representation-based-Multilabel-Learning:

Users that are interested in Representation-based-Multilabel-Learning are comparing it to the libraries listed below

• junliangma / gbssl
  Graph-Based Semi-Supervised Learning Algorithms
  ☆23Updated 8 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• ehosseiniasl / deep-cca
  Deep CCA (DCCA) network
  ☆15Updated 8 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆18Updated 8 years ago
• geduo15 / Very-Deep-Convolutional-Networks-for-Natural-Language-Processing-in-tensorflow
  implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow
  ☆55Updated 7 years ago
• hycis / transfer_learning
  Mozi, Transfer Learning, Multi-Modal Learning, Theano
  ☆27Updated 9 years ago
• dhruvramani / C2AE-Multilabel-Classification
  Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017
  ☆100Updated 7 years ago
• dvatterott / BMM_attentional_CNN
  A CNN with an attentional module that I built while attending the brains minds and machines summer course
  ☆68Updated 5 years ago
• zeakey / LDLForests
  Label Distribution Learning Forest
  ☆30Updated 7 years ago
• Ian09 / SupervisedDeepDocNADE
  A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970
  ☆41Updated 9 years ago
• abhishek-kumar / NNForMLL
  Neural Network Models for Multi-label learning
  ☆17Updated 4 years ago
• markheimann / mSDA
  Implementation and usage of marginalized stacked denoising autoencoders (mSDA)
  ☆23Updated 8 years ago
• deeplearningparis / dl-attention
  Attention models
  ☆33Updated 9 years ago
• norouzi / hdml
  Hamming Distance Metric Learning with Non-linear Projection
  ☆73Updated 11 years ago
• mganjoo / zslearning
  Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.
  ☆52Updated 10 years ago
• turian / textSNE
  2-d visualization of high-dimensional input: Python code for rendering t-SNE code with text labels for each point
  ☆108Updated 9 years ago
• phdowling / mSDA
  Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Ma…
  ☆27Updated 4 years ago
• chihkuanyeh / C2AE
  The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017
  ☆27Updated 7 years ago
• lipiji / variational-autoencoder-theano
  Variational Autoencoders (VAEs) in Theano for Images and Text
  ☆54Updated 7 years ago
• JihongJu / deep-pu-learning
  Deep Learning with Positive and Unlabeled samples
  ☆54Updated 7 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• jbingel / eacl2017_mtl
  Code for EACL '17 paper "Identifying beneficial task relations for multi-task learning in deep neural networks"
  ☆45Updated 8 years ago
• Unbabel / sparsemax
  ☆9Updated 8 years ago
• abenton / wgcca
  Python Implementation of Weighted Generalized Canonical Correlation Analysis
  ☆33Updated 6 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 8 years ago
• ying-wen / deep_learning_tutorial
  ☆18Updated 8 years ago
• yning / nested_Multi_Instance_Learning
  ☆18Updated 7 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• stephenbalaban / convnet
  ☆14Updated 10 years ago
• ej0cl6 / csmlc
  Cost-Sensitive Multi-Label Classification
  ☆19Updated 7 years ago