Alternatives and similar repositories for Adversarial-Variational-Semi-supervised-Learning

Users that are interested in Adversarial-Variational-Semi-supervised-Learning are comparing it to the libraries listed below

• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆28Updated 2 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
• S-Choudhuri / Adversarial-Domain-Adaptation-with-Keras
  A Keras framework for Adversarial Domain Adaptation
  ☆34Updated 4 years ago
• RomainSabathe / dagmm
  A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.
  ☆70Updated 5 years ago
• zhong110020 / pytorch_TCN
  Sequence modeling benchmarks and temporal convolutional networks https://github.com/locuslab/TCN
  ☆23Updated 5 years ago
• animebing / mnist_tsne
  t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
  ☆64Updated 7 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 6 years ago
• floft / codats
  Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)
  ☆55Updated 4 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆86Updated 6 years ago
• wanglouis49 / pytorch-autoencoders
  Implementation of autoencoders in PyTorch
  ☆57Updated 7 years ago
• ldeecke / vae-torch
  Variational autoencoder for anomaly detection (in PyTorch).
  ☆48Updated 5 years ago
• YeongHyeon / adVAE
  Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
  ☆20Updated 3 years ago
• xinario / catgan_pytorch
  Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
  ☆61Updated 7 years ago
• titu1994 / Adversarial-Attacks-Time-Series
  Codebase for the paper "Adversarial Attacks on Time Series"
  ☆22Updated 6 years ago
• mmalekzadeh / replacement-autoencoder
  Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis (IoTDI'18)
  ☆18Updated 3 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆124Updated 4 years ago
• jindongwang / tf-dann
  Domain-Adversarial Neural Network in Tensorflow
  ☆37Updated 6 years ago
• erlendd / ddan
  Deep domain adaptation networks (DDAN) library for Python with TensorFlow.
  ☆71Updated 5 years ago
• JacobWang95 / mWDN
  ☆52Updated 6 years ago
• vbezgachev / semi-supervised-gan
  PyTorch implementation of semi-supervised GAN
  ☆14Updated 7 years ago
• hellowangqian / domain-adaptation-capls
  Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
  ☆58Updated 3 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 6 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated 6 years ago
• jonzia / Recurrent_Autoencoder
  Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
  ☆29Updated 3 years ago
• floft / calda
  Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation
  ☆28Updated 3 years ago
• laiadc / PFM_Bearing_Fault_Detection
  ☆13Updated 4 years ago
• emreaksan / stcn
  STCN: Stochastic Temporal Convolutional Networks
  ☆69Updated 4 years ago
• samotiian / CCSA
  "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
  ☆103Updated 5 years ago
• freedombenLiu / RNN-Time-series-Anomaly-Detection
  ☆20Updated 6 years ago
• Mind-the-Pineapple / adversarial-autoencoder
  Tensorflow 2.0 implementation of Adversarial Autoencoders
  ☆20Updated 6 years ago