Alternatives and similar repositories for pathnet-pytorch:

Users that are interested in pathnet-pytorch are comparing it to the libraries listed below

• da-molchanov / variance-networks
  Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
  ☆39Updated 5 years ago
• alok / rl_implementations
  ☆43Updated 5 years ago
• siddharth-agrawal / Generative-Moment-Matching-Networks
  ☆63Updated 8 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• miyosuda / scan
  SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
  ☆54Updated 7 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 6 years ago
• jsikyoon / pathnet
  Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
  ☆101Updated 7 years ago
• lrjconan / deep_parsimonious
  Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016
  ☆14Updated 5 years ago
• aakhundov / tf-attend-infer-repeat
  TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).
  ☆42Updated 7 years ago
• clvrai / Generative-Latent-Optimization-Tensorflow
  Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
  ☆95Updated 7 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆121Updated 6 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 3 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• ThomasMiconi / LearningToLearnBOHP
  Backpropagation training of neural networks with Hebbian plastic connections
  ☆31Updated 3 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• Kaixhin / Dist-A3C
  Distributed A3C
  ☆34Updated 7 years ago
• zuoxingdong / VIN_TensorFlow
  TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular
  ☆52Updated 8 years ago
• akosiorek / attend_infer_repeat
  A Tensorfflow implementation of Attend, Infer, Repeat
  ☆81Updated 6 years ago
• vithursant / VAE-Gumbel-Softmax
  An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…
  ☆72Updated 7 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• HenryJia / InfoGAN
  InfoGAN Implementation in PyTorch
  ☆20Updated 7 years ago
• dai-dao / PPO-Pytorch
  Implementation of PPO in Pytorch
  ☆41Updated 7 years ago
• Shallow-Updates-for-Deep-RL / Shallow_Updates_for_Deep_RL
  Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"
  ☆18Updated 7 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 7 years ago
• gyglim / dvn
  Reference implementation for Structured Prediction with Deep Value Networks
  ☆55Updated 7 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• rarilurelo / pytorch_a3c
  ☆38Updated 8 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• ajbrock / BoilerPlate
  Odds and Ends and Things I've implemented.
  ☆78Updated 6 years ago
• sjoerdvansteenkiste / Relational-NEM
  Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.
  ☆73Updated 2 years ago