Alternatives and similar repositories for MRDNN-Py

Users that are interested in MRDNN-Py are comparing it to the libraries listed below

• CPJKU / deep_lda
  Implementation of Deep Linear Discriminant Analysis (DeepLDA)
  ☆48Updated 9 years ago
• ynd / cae.py
  Contractive Auto-Encoders in Numpy
  ☆29Updated 12 years ago
• bruno-31 / GAN-manifold-regularization
  This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
  ☆44Updated 6 years ago
• davidhallac / NetworkADMM
  ☆9Updated 10 years ago
• ToniCreswell / pyTorch_DAAE
  Demonising Adversarial Auto-encoder in PyTorch
  ☆24Updated 6 years ago
• weilinear / PyRPCA
  Robust PCA in Python
  ☆36Updated 12 years ago
• qianwangthu / feedback-nips2014-wq
  ☆11Updated 10 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• aniketde / DomainGeneralizationMarginal
  ☆15Updated 7 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 8 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆72Updated 6 years ago
• chandrasg / CDBN
  Convolutional Deep Belief Network (Honglak Lee's ICML paper)
  ☆23Updated 9 years ago
• mganjoo / zslearning
  Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.
  ☆54Updated 11 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 5 years ago
• LayneH / MRCNN
  TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.
  ☆18Updated 8 years ago
• eleniTriantafillou / few_shot_mAP_public
  This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…
  ☆25Updated 7 years ago
• FJR-Nancy / joint-cluster-cnn
  A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).
  ☆25Updated 6 years ago
• zeakey / LDLForests
  Label Distribution Learning Forest
  ☆30Updated 7 years ago
• yanweifu / embedding_zero-shot-learning
  ☆20Updated 8 years ago
• toantm / keras-bda
  A Bayesian Data Augmentation Approach for Learning Deep Models in Keras. Here is the link to a pytorch version: https://github.com/toant…
  ☆25Updated 7 years ago
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 4 years ago
• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆40Updated 8 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 6 years ago
• eladhoffer / SemiSupContrast
  Semi-supervised deep learning by metric embedding
  ☆19Updated 8 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆19Updated 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
• 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
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 8 years ago
• lorisbaz / Multiview-learning
  Multi-view Learning with Vector-valued RKHS - ICML 2013
  ☆17Updated 10 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