Alternatives and similar repositories for transferlearning

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

• SankhaSubhra / Ada-kNN
  A MATLAB implementation of Adaptive k-Nearest Neighbor Algorithms called Ada-kNN and Ada-kNN2 (alongside a global weighting scheme for ha…
  ☆16Updated 7 years ago
• wanglichenxj / Adaptive-Graph-Guided-Embedding-for-Multi-label-Annotation
  AG2E: A novel adaptive graph based multi-label learning framework for multi-label annotation, image retrieval, and other applications.
  ☆22Updated 6 years ago
• kunzhan / MTGCN
  FGCS 2021: Mutual teaching for graph convolutional networks
  ☆15Updated 5 years ago
• abhinav4192 / sparse-subspace-clustering-python
  Python implementation of Sparse Subspace Clustering algorithm.
  ☆82Updated 7 years ago
• tonyabracadabra / Deep-Subspace-Clustering
  Subspace clustering through the deep learning approach
  ☆22Updated 9 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• xyh2016 / MTLF
  A Unified Framework for Metric Transfer Learning
  ☆17Updated 8 years ago
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 4 years ago
• xinwangliu / Multi-Kernel-Extreme-Learning-Machine
  ☆18Updated 9 years ago
• quinngroup / deep-representations-clustering
  This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".
  ☆21Updated 8 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
• CHLWR / KDD2019_K-Multiple-Means
  Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted b…
  ☆84Updated 4 years ago
• HanGuangXin / Result-Visualization-of-Graph-Convolutional-Networks-in-PyTorch
  Based on Graph Convolutional Networks in PyTorch, visualization of test set results was added with t-SNE algorithm.
  ☆44Updated 5 years ago
• hyqneuron / dsc_gan
  Deep Subspace Clustering + GAN
  ☆23Updated 7 years ago
• poppinace / TAISL
  (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations
  ☆60Updated 8 years ago
• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 6 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 7 years ago
• panji530 / Low-rank-kernel-subspace-clustering
  ☆13Updated 6 years ago
• cadurosar / graph_kd
  Graph Knowledge Distillation
  ☆13Updated 5 years ago
• hexiangnan / CoNMF
  Co-regularized Non-negative Matrix Factorization
  ☆18Updated 8 years ago
• sharonFogel / CPAC
  Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"
  ☆27Updated 7 years ago
• lorisbaz / Multiview-learning
  Multi-view Learning with Vector-valued RKHS - ICML 2013
  ☆17Updated 11 years ago
• jasonseu / cnn_graph.pytorch
  A PyTorch implementation of paper "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering"
  ☆11Updated 5 years ago
• ds4dm / sparse-gcn
  Sparse graph attention
  ☆17Updated 7 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆36Updated 7 years ago
• boyangumn / DCN
  This is outdated -- New version: https://github.com/boyangumn/DCN-New
  ☆94Updated 7 years ago
• hemanthdv / da-hash
  MatConvNet: CNNs for MATLAB
  ☆51Updated 8 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆19Updated 8 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆135Updated 4 years ago
• danathughes / DeepEmbeddedClustering
  Tensorflow implementation of Deep Embedded Clustering (DEC) for unsupervised learning
  ☆20Updated 8 years ago