Alternatives and similar repositories for deep_lda

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

• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 6 years ago
• hemanthdv / da-hash
  MatConvNet: CNNs for MATLAB
  ☆51Updated 8 years ago
• pmorerio / minimal-entropy-correlation-alignment
  Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018
  ☆63Updated 5 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 4 years ago
• thuml / MADA
  Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)
  ☆59Updated 6 years ago
• VahidooX / DeepLDA
  An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras
  ☆41Updated 7 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 6 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 7 years ago
• corenel / pytorch-arda
  A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
  ☆50Updated 7 years ago
• mganjoo / zslearning
  Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.
  ☆54Updated 11 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆118Updated 8 years ago
• rflamary / JDOT
  Joint distribution optimal transportation for domain adaptation
  ☆102Updated 7 years ago
• zeakey / LDLForests
  Label Distribution Learning Forest
  ☆30Updated 7 years ago
• ToniCreswell / pyTorch_DAAE
  Demonising Adversarial Auto-encoder in PyTorch
  ☆24Updated 6 years ago
• mil-tokyo / adr_da
  ☆34Updated 7 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 7 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
• FJR-Nancy / joint-cluster-cnn
  A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).
  ☆25Updated 6 years ago
• davidtellez / adda_mnist64
  Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano
  ☆32Updated 8 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 6 years ago
• vtddggg / ATDA
  Unofficial Implement of Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆40Updated 8 years ago
• Elyorcv / SAE
  Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017
  ☆146Updated 6 years ago
• corenel / pytorch-atda
  A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆44Updated 7 years ago
• pujols / zero-shot-learning
  ☆65Updated 6 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆80Updated 3 years ago
• abhiskk / ladder
  Implementation of Ladder Network in PyTorch.
  ☆45Updated 7 years ago
• Mid-Push / Open_set_domain_adaptation
  Tensorflow Implementation of open set domain adaptation by backpropagation
  ☆30Updated 6 years ago
• vodp / py-kmm
  A Python implementation of Kernel Mean Matching data reweighting algorithm
  ☆32Updated 9 years ago
• GRAAL-Research / domain_adversarial_neural_network
  Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)
  ☆141Updated 7 years ago
• ddtm / caffe
  Caffe: a fast open framework for deep learning.
  ☆135Updated 9 years ago