Alternatives and similar repositories for pyrcc:

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

• shahsohil / DCC
  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
  ☆211Updated 3 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆162Updated 7 years ago
• herandy / DEPICT
  ☆58Updated 7 years ago
• snakers4 / playing_with_vae
  Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
  ☆61Updated 6 years ago
• fferroni / DEC-Keras
  Deep Embedding Clustering in Keras
  ☆130Updated 7 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
• 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
• trigeorgis / Deep-Semi-NMF
  Theano-based implementation of Deep Semi-NMF.
  ☆112Updated 9 years ago
• sharonFogel / CPAC
  Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"
  ☆27Updated 6 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆91Updated 6 years ago
• boyangumn / DCN-New
  Updated version of DCN
  ☆82Updated 2 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆63Updated 6 years ago
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆55Updated 5 years ago
• RuiShu / vae-experiments
  Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…
  ☆62Updated 8 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 3 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆173Updated 3 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆98Updated 8 years ago
• weihua916 / imsat
  Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"
  ☆80Updated 5 years ago
• XifengGuo / IDEC
  ☆159Updated 7 years ago
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆54Updated 5 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆72Updated 6 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆42Updated 7 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆130Updated last year
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• PouriaZ / GMML
  Geometric Mean Metric Learning
  ☆12Updated 5 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆86Updated 8 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆238Updated last year
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago