Alternatives and similar repositories for generate_normal

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

• achintyagopal / VAE-Clustering
  Using VAEs to do clustering for classification
  ☆11Updated 7 years ago
• ZhimingZhou / AM-GANs-for-reproduce
  This repo is for reproducing our results in “Activation Maximization Generative Adversarial Nets”.
  ☆11Updated 4 years ago
• hyqneuron / dsc_gan
  Deep Subspace Clustering + GAN
  ☆23Updated 7 years ago
• mohsenkheirandishfard / DLRSC
  This is a Pytorch implementation of "Deep Low-Rank Subspace Clustering" (CVPRW 2020).
  ☆14Updated 4 years ago
• jiangyangby / MM18-Deep-Cognitive-Subspace-Clustering
  Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)
  ☆11Updated 5 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago
• ChavoshiNejad / S4NMF
  Self-supervised semi-supervised nonnegative matrix factorization for data clustering
  ☆15Updated 2 years ago
• eesungkim / NMF-Tensorflow
  Non-negative Matrix Factorization (NMF) Tensorflow Implementation
  ☆37Updated 7 years ago
• sumanth-bmsce / Deep-Neural-Network-for-Clustering
  Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…
  ☆13Updated 7 years ago
• HaebinShin / dec-tensorflow
  Tensorflow implementation of "Unsupervised Deep Embedding for Clustering Analysis"
  ☆58Updated 7 years ago
• joocxi / tf2-VAEAC
  Variational Autoencoder with Arbitrary Conditioning for Image Inpainting in TensorFlow 2.0
  ☆12Updated 2 years ago
• shivangi-aneja / Deep-Clustering
  Clustering using Deep Learning (T-SNE visualization of autoencoder embeddings )
  ☆10Updated 6 years ago
• xdxuyang / Deep-Spectral-Clustering-using-Dual-Autoencoder-Network
  ☆56Updated 5 years ago
• tonyabracadabra / Deep-Subspace-Clustering
  Subspace clustering through the deep learning approach
  ☆22Updated 8 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 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
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• bojone / infomax
  extract features by maximizing mutual information
  ☆148Updated 5 years ago
• mahdiabavisani / DSRC
  Tensorflow implementation of "Deep sparse representation-based classification"
  ☆45Updated 6 years ago
• jamie2017 / LearningWithNoisyLabels
  Implementation of a state-of-art algorithm from the paper “Learning with Noisy Labels” , which is the first one providing “guarantees for…
  ☆21Updated 7 years ago
• pengfei93 / Dual-aae
  Deep Clustering Learning
  ☆12Updated 5 years ago
• Ralmohsen / OSRAAE
  Open-set Recognition with Adversarial Autoencoders
  ☆38Updated 6 years ago
• koshian2 / Pseudo-Label-Keras
  Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras
  ☆37Updated 6 years ago
• GuHY777 / SS-VAE-pytorch
  The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch
  ☆17Updated 6 years ago
• asahi417 / DeepDomainAdaptation
  Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…
  ☆26Updated 6 years ago
• cameronfabbri / cWGANs
  Conditional Wasserstein GANs
  ☆73Updated 7 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆100Updated 9 years ago
• xinario / catgan_pytorch
  Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
  ☆61Updated 7 years ago
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆83Updated 6 years ago
• 1Konny / WAE-pytorch
  ☆68Updated 6 years ago