Alternatives and similar repositories for Quasi-Newton-S3VM:

Users that are interested in Quasi-Newton-S3VM are comparing it to the libraries listed below

• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆124Updated 4 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 5 years ago
• ksalsw1996 / pytorch_DAE
  pytorch implementation of stacked denoising autoencoder
  ☆20Updated 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…
  ☆74Updated 5 years ago
• JacobWang95 / mWDN
  ☆52Updated 6 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 7 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆44Updated 5 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• GuHongyang / LapSVM-python
  Laplacian Support Vector Machines
  ☆20Updated 5 years ago
• boyangumn / DCN-New
  Updated version of DCN
  ☆82Updated 2 years ago
• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆49Updated 7 years ago
• xyh2016 / MTLF
  A Unified Framework for Metric Transfer Learning
  ☆17Updated 7 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• GuHongyang / SS-VAE-pytorch
  The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch
  ☆17Updated 5 years ago
• helloyide / Cross-stitch-Networks-for-Multi-task-Learning
  A Tensorflow implementation of the paper arXiv:1604.03539
  ☆127Updated 6 years ago
• blueocean92 / deep_constrained_clustering
  ☆40Updated last year
• boyangumn / DCN
  This is outdated -- New version: https://github.com/boyangumn/DCN-New
  ☆93Updated 6 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆90Updated 6 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 7 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 6 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 5 years ago
• ML-on-structures / graph-lstm
  LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
  ☆78Updated 8 years ago
• jindongwang / tf-dann
  Domain-Adversarial Neural Network in Tensorflow
  ☆37Updated 6 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆76Updated 5 years ago
• mehulrastogi / Deep-Belief-Network-pytorch
  This repository has implementation and tutorial for Deep Belief Network
  ☆102Updated 6 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆70Updated 7 years ago
• dawnranger / IDEC-pytorch
  Pytorch implementation of Improved Deep Embedded Clustering
  ☆101Updated 6 years ago
• abojchevski / paican
  Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
  ☆24Updated 4 years ago
• ermongroup / ssdkl
  Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
  ☆74Updated 6 years ago
• hyqneuron / dsc_gan
  Deep Subspace Clustering + GAN
  ☆23Updated 7 years ago