Alternatives and similar repositories for transfer-learning

Users that are interested in transfer-learning are comparing it to the libraries listed below

• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 7 years ago
• jcklie / keras-autoencoder
  Collection of autoencoders written in Keras
  ☆37Updated 9 years ago
• cmgreen210 / TensorFlowDeepAutoencoder
  MNIST Digit Classification Using Stacked Autoencoder And TensorFlow
  ☆153Updated 2 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆100Updated 9 years ago
• iwyoo / LSTM-autoencoder
  TensorFlow LSTM-autoencoder implementation
  ☆191Updated 7 years ago
• yosinski / convnet_transfer
  Code for paper "How transferable are features in deep neural networks?"
  ☆151Updated 6 years ago
• niudd / ICML-2017-Papers
  https://2017.icml.cc/Conferences/2017/Schedule
  ☆71Updated 8 years ago
• ramarlina / DenoisingAutoEncoder
  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
  ☆149Updated 9 years ago
• JihongJu / deep-pu-learning
  Deep Learning with Positive and Unlabeled samples
  ☆54Updated 8 years ago
• zhuhan1236 / transfer-caffe
  [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe
  ☆18Updated 8 years ago
• y0ast / VAE-TensorFlow
  Implementation of a Variational Auto-Encoder in TensorFlow
  ☆208Updated 8 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 3 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆134Updated 4 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆19Updated 8 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 years ago
• wuliwei9278 / ml-1m
  New algorithms for Large-scale Collaborative Ranking: PrimalCR and PrimalCR++
  ☆12Updated 8 years ago
• chenchiwei / tradaboost
  Transfer learning algorithm TrAdaboost,coded by python
  ☆125Updated 2 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• viggin / domain-adaptation-toolbox
  Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms
  ☆172Updated 9 years ago
• rinuboney / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
  ☆242Updated 8 years ago
• GRAAL-Research / domain_adversarial_neural_network
  Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)
  ☆142Updated 7 years ago
• jjrob13 / sklearn_cotraining
  An implementation of the Co-Training semi-supervised learning technique from (Blue, Mitchell 1998) that is meant to work well with scikit…
  ☆75Updated 5 years ago
• fferroni / DEC-Keras
  Deep Embedding Clustering in Keras
  ☆132Updated 8 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆504Updated 3 years ago
• Riashat / Active-Learning-Bayesian-Convolutional-Neural-Networks
  Active Learning on Image Data using Bayesian ConvNets
  ☆139Updated 8 years ago
• thuml / DAN
  Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)
  ☆162Updated 7 years ago
• chrischoy / fully-differentiable-deep-ndf-tf
  Fully differentiable deep-neural decision forest in tensorflow
  ☆229Updated 7 years ago
• junliangma / gbssl
  Graph-Based Semi-Supervised Learning Algorithms
  ☆23Updated 9 years ago
• musyoku / adversarial-autoencoder
  Chainer implementation of adversarial autoencoder (AAE)
  ☆257Updated 7 years ago