Alternatives and similar repositories for Unsupervised-Domain-Transfer-Learning-model:

Users that are interested in Unsupervised-Domain-Transfer-Learning-model are comparing it to the libraries listed below

• MansteinLiliang / Transfer-Learning
  迁移学习
  ☆18Updated 6 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 6 years ago
• zhuhan1236 / transfer-caffe
  [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe
  ☆18Updated 7 years ago
• shucunt / domain_adaptation
  this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wust…
  ☆63Updated 7 years ago
• corenel / pytorch-arda
  A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
  ☆50Updated 7 years ago
• xyh2016 / MTLF
  A Unified Framework for Metric Transfer Learning
  ☆17Updated 7 years ago
• jindongwang / tf-dann
  Domain-Adversarial Neural Network in Tensorflow
  ☆37Updated 6 years ago
• thuml / SAN
  Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)
  ☆69Updated 6 years ago
• cnichkawde / MatchingNetwork
  Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080
  ☆53Updated 6 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 7 years ago
• rosenfeldamir / incremental_learning
  Initial Code for the paper "incremental learning through deep adaptation"
  ☆50Updated 5 years ago
• tejasgodambe / knowledge-distillation
  Transfer knowledge from a large DNN or an ensemble of DNNs into a small DNN
  ☆28Updated 7 years ago
• Elyorcv / zsl-deep-learning
  Zero-shot learning experiments by deep learning.
  ☆41Updated 5 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆59Updated 13 years ago
• eyounx / ASG
  Open category classification by adversarial sample generation
  ☆20Updated 4 years ago
• wac81 / Book_DeepLearning_Practice
  Book_DeepLearning_Practice
  ☆31Updated 7 years ago
• liyu95 / SupportNet
  SupportNet: solving catastrophic forgetting in class incremental learning with support data
  ☆34Updated 6 years ago
• caoyue10 / icml-caffe
  Implementation of ICML15 paper "Learning Transferable Features with Deep Adaptation Networks" based on caffe
  ☆33Updated 9 years ago
• wpwei / ZJL_zero_shot_learning_competition
  Code base for ZJL zero shot learning competition.
  ☆50Updated 6 years ago
• kvmanohar22 / Generative-Models
  Comparison of Generative Models in Tensorflow
  ☆97Updated 7 years ago
• jerryfan4 / ResNet
  Tensorflow ResNet implementation on cifar10
  ☆14Updated 7 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆79Updated 2 years ago
• omid55 / deep_transfer_learning
  Deep Transfer Learning codes using Google TensorFlow
  ☆13Updated 8 years ago
• wOOL / Learning_to_Compare
  Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"
  ☆29Updated 7 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆41Updated 6 years ago
• loliverhennigh / WassersteinGAN.tensorflow
  Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
  ☆21Updated 8 years ago
• Elyorcv / SAE
  Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017
  ☆146Updated 6 years ago
• christiancosgrove / good-semi-bad-gan
  TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"
  ☆12Updated 7 years ago
• norouzi / hdml
  Hamming Distance Metric Learning with Non-linear Projection
  ☆73Updated 11 years ago
• taki0112 / TripleGAN-Tensorflow
  Simple Tensorflow implementation of Triple Generative Adversarial Nets (NIPS 2017)
  ☆68Updated 7 years ago