Alternatives and similar repositories for Representation-Learning-by-Learning-to-Count:

Users that are interested in Representation-Learning-by-Learning-to-Count are comparing it to the libraries listed below

• cdoersch / deepcontext
  Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'
  ☆115Updated 7 years ago
• chrisdonahue / sdgan
  Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"
  ☆95Updated 6 years ago
• lanpa / tensorboard-pytorch-examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆83Updated 6 years ago
• XavierLinNow / deepdream_pytorch
  ☆45Updated 8 years ago
• e-lab / pytorch-CortexNet
  ☆44Updated 7 years ago
• facebookresearch / noise-as-targets
  Unsupervised Learning by Predicting Noise
  ☆90Updated 3 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆201Updated 7 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• kjunelee / WINN
  Wasserstein Introspective Neural Networks (CVPR 2018 Oral)
  ☆59Updated 7 years ago
• kimhc6028 / forward-thinking-pytorch
  Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
  ☆65Updated 7 years ago
• takat0m0 / AAE
  adversarial autoencoder (AAE) with tensorflow for MNIST
  ☆19Updated 7 years ago
• zergylord / oneshot
  ☆68Updated 7 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• woozzu / dong_iccv_2017
  A PyTorch implementation of the paper "Semantic Image Synthesis via Adversarial Learning" in ICCV 2017
  ☆143Updated 7 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• gyglim / dvn
  Reference implementation for Structured Prediction with Deep Value Networks
  ☆55Updated 7 years ago
• ChunyuanLI / ALICE
  NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
  ☆82Updated 6 years ago
• richzhang / splitbrainauto
  Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.
  ☆140Updated 6 years ago
• jhjacobsen / RFNN
  Structured Receptive Fields in Convolutional Neural Networks
  ☆47Updated 7 years ago
• csyanbin / Few-shot-Meta-learning-papers
  Recent few-shot meta-learning papers
  ☆86Updated 6 years ago
• CIFASIS / splitting_gan
  Code for Class-Splitting Generative Adversarial Networks
  ☆32Updated 7 years ago
• eevignesh / videovector
  Code for video frame embeddings: Learning Temporal Embeddings for Complex Video Analysis, ICCV 2015
  ☆23Updated 9 years ago
• edgarriba / ali-pytorch
  Adversarially Learned Inference in Pytorch
  ☆30Updated 8 years ago
• divelab / dtn
  ☆57Updated 7 years ago
• tymokvo / AEGeAN
  Deeper DCGAN with AE stabilization
  ☆38Updated last year
• jwyang / lr-gan.pytorch
  Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"
  ☆151Updated 4 years ago
• lrjconan / deep_parsimonious
  Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016
  ☆14Updated 5 years ago
• takerum / vat_chainer
  Implementation of Virtual adversarial training with chainer
  ☆40Updated 7 years ago
• pumpikano / tf-magnet-loss
  Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"
  ☆95Updated 7 years ago