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
• 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
• xinario / catgan_pytorch
  Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
  ☆61Updated 7 years ago
• cameronfabbri / cWGANs
  Conditional Wasserstein GANs
  ☆73Updated 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
• 1Konny / WAE-pytorch
  ☆68Updated 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
• joocxi / tf2-VAEAC
  Variational Autoencoder with Arbitrary Conditioning for Image Inpainting in TensorFlow 2.0
  ☆12Updated 2 years ago
• HaebinShin / dec-tensorflow
  Tensorflow implementation of "Unsupervised Deep Embedding for Clustering Analysis"
  ☆59Updated 7 years ago
• mahdiabavisani / DSRC
  Tensorflow implementation of "Deep sparse representation-based classification"
  ☆45Updated 6 years ago
• xdxuyang / Deep-Spectral-Clustering-using-Dual-Autoencoder-Network
  ☆56Updated 5 years ago
• tijiang13 / Semi-supervised-VAE
  ☆24Updated 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
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆131Updated last year
• bojone / flow
  Keras implement of flow-based models
  ☆224Updated 5 years ago
• pengfei93 / Dual-aae
  Deep Clustering Learning
  ☆12Updated 6 years ago
• GuHY777 / VaDE-pytorch
  the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch
  ☆136Updated 2 years ago
• ksalsw1996 / pytorch_DAE
  pytorch implementation of stacked denoising autoencoder
  ☆20Updated 7 years ago
• panji530 / Deep-subspace-clustering-networks
  ☆210Updated 4 years ago
• kingofspace0wzz / multilayer_nmf
  My experiment of multilayer NMF, a deep neural network in which the first several layers take Semi-NMF as its pseudo-activation-function …
  ☆8Updated 7 years ago
• tonyabracadabra / Deep-Subspace-Clustering
  Subspace clustering through the deep learning approach
  ☆22Updated 9 years ago
• ry85 / VAE-GAN
  Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"
  ☆43Updated 5 years ago
• chickenbestlover / ELM-pytorch
  Extreme Learning Machine implemented in Pytorch
  ☆103Updated 7 years ago
• yanzhicong / VAE-GAN
  Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"
  ☆45Updated 6 years ago
• lucabergamini / VAEGAN-PYTORCH
  VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.
  ☆189Updated 7 years ago
• coolvision / vae_conv
  Convolutional variational autoencoder in PyTorch
  ☆46Updated 7 years ago
• zheng-yuwei / Stacked_Autoencoder
  用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调
  ☆42Updated 9 years ago