Alternatives and similar repositories for Deep-Symbolic-Networks

Users that are interested in Deep-Symbolic-Networks are comparing it to the libraries listed below

• wgrathwohl / BackpropThroughTheVoidRL
  RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…
  ☆39Updated 7 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 7 years ago
• ThomasMiconi / LearningToLearnBOHP
  Backpropagation training of neural networks with Hebbian plastic connections
  ☆31Updated 4 years ago
• akosiorek / attend_infer_repeat
  A Tensorfflow implementation of Attend, Infer, Repeat
  ☆81Updated 6 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆43Updated 6 years ago
• emtiyaz / vmp-for-svae
  Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
  ☆45Updated 7 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 4 years ago
• yaroslavvb / kfac_pytorch
  ☆133Updated 7 years ago
• moskomule / pytorch.rl.learning
  for learning reinforcement learning using PyTorch.
  ☆64Updated 5 years ago
• renmengye / tensorflow-forward-ad
  Forward-mode Automatic Differentiation for TensorFlow
  ☆139Updated 7 years ago
• kimhc6028 / pathnet-pytorch
  PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
  ☆80Updated 7 years ago
• sjoerdvansteenkiste / Neural-EM
  Code for the "Neural Expectation Maximization" paper.
  ☆126Updated 2 years ago
• jsikyoon / pathnet
  Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
  ☆102Updated 8 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆69Updated 8 years ago
• jingweiz / pytorch-dnc
  Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
  ☆276Updated 7 years ago
• JoergFranke / ADNC
  Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.
  ☆94Updated 2 years ago
• akosiorek / sqair
  Implementation of Sequential Attend, Infer, Repeat (SQAIR)
  ☆97Updated 6 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆121Updated 7 years ago
• kvfrans / parallel-trpo
  A parallel version of Trust Region Policy Optimization
  ☆65Updated 8 years ago
• duvenaud / relax
  Optimizing control variates for black-box gradient estimation
  ☆163Updated 6 years ago
• miyosuda / scan
  SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
  ☆54Updated 7 years ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆272Updated 2 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 6 years ago
• pierrelux / rlss2017
  ☆17Updated 8 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 2 years ago
• iassael / torch-e2c
  Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆43Updated 9 years ago
• AI-ON / TheConsciousnessPrior
  AI-ON Consciousness Prior
  ☆97Updated 7 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 6 years ago
• andrewliao11 / dni.pytorch
  Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
  ☆119Updated 7 years ago
• AMLab-Amsterdam / MNF_VBNN
  Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
  ☆65Updated 5 years ago