Alternatives and similar repositories for SemiSupContrast:

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

• lrjconan / deep_parsimonious
  Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016
  ☆14Updated 5 years ago
• lyttonhao / Factorized-Bilinear-Network
  FBN: Factorized Bilinear Models for Image Recognition (ICCV 2017)
  ☆68Updated 7 years ago
• ChunyuanLI / ALICE
  NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
  ☆82Updated 6 years ago
• kjunelee / WINN
  Wasserstein Introspective Neural Networks (CVPR 2018 Oral)
  ☆59Updated 7 years ago
• ColumbiaDVMM / Heated_Up_Softmax_Embedding
  Project page for Heated-up Softmax Embedding
  ☆43Updated 6 years ago
• guojunq / glsgan
  Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN)
  ☆46Updated 8 years ago
• caoyue10 / icml-caffe
  Implementation of ICML15 paper "Learning Transferable Features with Deep Adaptation Networks" based on caffe
  ☆33Updated 9 years ago
• baidu-research / DT-RAM
  ☆64Updated 7 years ago
• ducksoup / autodial
  AutoDIAL Caffe Implementation
  ☆27Updated 7 years ago
• jyh2986 / Active-Convolution
  Active Convolution
  ☆60Updated 8 years ago
• princeton-vl / DecorrelatedBN
  Code for Decorrelated Batch Normalization
  ☆82Updated 6 years ago
• maestrojeong / Deep-Hash-Table-ICML18
  "Efficient end-to-end learning for quantizable representations" accepted at ICML2018
  ☆66Updated 6 years ago
• bmsookim / wide-residual-network
  Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges
  ☆37Updated 8 years ago
• madkn / HistogramLoss
  This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)
  ☆96Updated 7 years ago
• azadis / LDDP
  Learning Detection with Diverse Proposals at CVPR 2017
  ☆31Updated 7 years ago
• christiancosgrove / good-semi-bad-gan
  TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"
  ☆12Updated 7 years ago
• xiaolonw / ss-gan
  Style and Structure GAN (ECCV 2016)
  ☆112Updated 7 years ago
• aravindhm / nnpreimage
  Code for Visualizing Deep Convolutional Neural Networks Using Natural Pre-images, IJCV 2016
  ☆27Updated 8 years ago
• MichaelMathieu / factors-variation
  Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…
  ☆21Updated 7 years ago
• edgarriba / ali-pytorch
  Adversarially Learned Inference in Pytorch
  ☆30Updated 8 years ago
• pujols / zero-shot-learning
  ☆65Updated 6 years ago
• iDurugkar / GMAN
  GANs with multiple Discriminators
  ☆78Updated 2 years ago
• mfigurnov / perforated-cnn-matconvnet
  ☆10Updated 8 years ago
• jwyang / stnm.pytorch
  Pytorch code for spatial transformer network with mask
  ☆31Updated 6 years ago
• sungraepark / Adversarial-Dropout
  ☆32Updated 6 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆86Updated 8 years ago
• DNNToolBox / Net-Trim-v1
  Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
  ☆59Updated 6 years ago
• chl260 / general-pooling
  Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
  ☆27Updated 8 years ago
• jbhuang0604 / WSL
  Weakly Supervised Object Localization with Progressive Domain Adaptation (CVPR 2016)
  ☆62Updated 8 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 6 years ago