Alternatives and similar repositories for Stochastic_Generative_Hashing

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

• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆86Updated 9 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 5 years ago
• yujiali / gmmn
  Generative moment matching networks
  ☆151Updated 9 years ago
• eladhoffer / SemiSupContrast
  Semi-supervised deep learning by metric embedding
  ☆19Updated 8 years ago
• DartML / SteinGAN
  code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
  ☆27Updated 6 years ago
• bd622 / DiscretHashing
  ☆54Updated 7 years ago
• pujols / zero-shot-learning
  ☆66Updated 7 years ago
• lopezpaz / distillation_privileged_information
  Code for "Unifying distillation and privileged information" (ICLR 2016).
  ☆48Updated 9 years ago
• iDurugkar / GMAN
  GANs with multiple Discriminators
  ☆78Updated 2 years ago
• mganjoo / zslearning
  Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.
  ☆54Updated 11 years ago
• takerum / vat
  Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
  ☆110Updated 8 years ago
• BB-UCL / Lasagne
  ☆13Updated 7 years ago
• dongyp13 / Robust-and-Explainable-Machine-Learning
  Related materials for robust and explainable machine learning
  ☆48Updated 7 years ago
• ucla-vision / entropy-sgd
  Lua implementation of Entropy-SGD
  ☆81Updated 7 years ago
• ChunyuanLI / ALICE
  NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
  ☆82Updated 7 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• hemanthdv / da-hash
  MatConvNet: CNNs for MATLAB
  ☆51Updated 8 years ago
• edgarriba / ali-pytorch
  Adversarially Learned Inference in Pytorch
  ☆30Updated 8 years ago
• sungraepark / Adversarial-Dropout
  ☆32Updated 6 years ago
• norouzi / ckmeans
  Cartesian k-means for approximate nearest neghbor search, codebook learning, etc.
  ☆51Updated 12 years ago
• siddharth-agrawal / Generative-Moment-Matching-Networks
  ☆62Updated 9 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆176Updated 7 years ago
• zhenxuan00 / mmdgm
  Code of "Max-margin Deep Generative Models" (NIPS15)
  ☆18Updated 10 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆103Updated 9 years ago
• Cysu / noisy_label
  Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"
  ☆119Updated 6 years ago
• btjhjeon / IMM_tensorflow
  Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)
  ☆35Updated 7 years ago
• CAS-CLab / K-Nearest-Neighbors-Hashing
  Matlab implementation of "K-Nearest Neighbors Hashing" (CVPR2019)
  ☆27Updated 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 7 years ago
• thu-ml / mmdcgm-ssl
  mmDCGMs for accurate classification and excellent class-conditional generation in semi-supervised learning
  ☆11Updated 8 years ago
• victor-shepardson / alpha-GAN
  pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…
  ☆81Updated 8 years ago