Alternatives and similar repositories for noise-as-targets

Users that are interested in noise-as-targets are comparing it to the libraries listed below

• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• goodfeli / forgetting
  Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…
  ☆69Updated 11 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆68Updated 8 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• renmengye / meta-optim-public
  Understanding Short-Horizon Bias in Stochastic Meta-Optimization
  ☆37Updated 7 years ago
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆149Updated 8 years ago
• elanmart / psmm
  ☆49Updated 7 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• ayanc / rpgan
  RP-GAN: Stable GAN Training with Random Projections
  ☆22Updated 7 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 7 years ago
• jiamings / cramer-gan
  Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
  ☆125Updated 7 years ago
• kefirski / bytenet
  Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper
  ☆46Updated 7 years ago
• siddharth-agrawal / Generative-Moment-Matching-Networks
  ☆62Updated 9 years ago
• facebookresearch / TPRNN
  TargetProp for RNNs
  ☆27Updated 6 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆24Updated 7 years ago
• clvrai / Generative-Latent-Optimization-Tensorflow
  Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
  ☆95Updated 8 years ago
• clvrai / Representation-Learning-by-Learning-to-Count
  A Tensorflow implementation of Representation Learning by Learning to Count
  ☆107Updated 7 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• jsikyoon / pathnet
  Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
  ☆102Updated 8 years ago
• google / joint_vae
  Code to build VAE models that are jointly conditioned.
  ☆36Updated 7 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 9 years ago
• leonardblier / descriptionlengthdeeplearning
  Experiments from "The Description Length of Deep Learning Models"
  ☆10Updated 7 years ago
• jsuarez5341 / Recurrent-Highway-Hypernetworks-NIPS
  Cleaned original source code from my NIPS publication
  ☆156Updated 7 years ago
• janericlenssen / noise-as-targets-tensorflow
  Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…
  ☆23Updated 8 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆86Updated 9 years ago
• lmzintgraf / DeepVis-PredDiff
  Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
  ☆118Updated 7 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 4 years ago
• ChengtaoLi / dan
  Demo code for the paper ''Distributional Adversarial Networks''
  ☆19Updated 7 years ago