ragavvenkatesan / Incremental-GAN

Related projects ⓘ

Alternatives and complementary repositories for Incremental-GAN

• btjhjeon / IMM_tensorflow
  Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)
  ☆34Updated 6 years ago
• qulizhen / fgan_info_geometric
  f-GANs in an Information Geometric Nutshell
  ☆13Updated 7 years ago
• pfnet-research / chainer-ADDA
  Adversarial Discriminative Domain Adaptation in Chainer
  ☆24Updated 7 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 6 years ago
• rahafaljundi / Encoder-Based-Lifelong-learning
  ☆16Updated 6 years ago
• christiancosgrove / good-semi-bad-gan
  TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"
  ☆12Updated 7 years ago
• vsyrgkanis / optimistic_GAN_training
  ☆44Updated 6 years ago
• NCTUMLlab / Huang-Ching-Wei
  ☆24Updated 7 years ago
• mil-tokyo / adr_da
  ☆34Updated 6 years ago
• haseebs / Pseudo-rehearsal-Incremental-Learning
  Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"
  ☆12Updated 5 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆58Updated 6 years ago
• da-molchanov / variance-networks
  Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
  ☆39Updated 4 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 5 years ago
• simplespy / SCAN-from-betaVAE
  Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
  ☆21Updated 6 years ago
• xialeiliu / RotateNetworks
  The rep for the RotateNetworks in ICPR18, Beijing, China.
  ☆33Updated 6 years ago
• gabrielhuang / centroid-networks
  Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"
  ☆23Updated 4 years ago
• aakhundov / tf-attend-infer-repeat
  TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).
  ☆43Updated 7 years ago
• caoyue10 / icml-caffe
  Implementation of ICML15 paper "Learning Transferable Features with Deep Adaptation Networks" based on caffe
  ☆33Updated 9 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆121Updated 6 years ago
• liyu95 / SupportNet
  SupportNet: solving catastrophic forgetting in class incremental learning with support data
  ☆34Updated 5 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 6 years ago
• corenel / pytorch-arda
  A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
  ☆51Updated 7 years ago
• biuyq / CT-GAN
  ☆48Updated 6 years ago
• human-analysis / pytorchnet
  Generalized Framework for PyTorch
  ☆32Updated 2 years ago
• davidtellez / adda_mnist64
  Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano
  ☆32Updated 7 years ago
• rszeto / moving-symbols
  Like Moving MNIST, but way more flexible
  ☆24Updated 4 years ago
• RobRomijnders / bayes_nn
  Uncertainty interpretations of the neural network
  ☆31Updated 6 years ago
• ron-amit / meta-learning-adjusting-priors
  Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018
  ☆22Updated 5 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 5 years ago