Alternatives and similar repositories for NSM

Users that are interested in NSM are comparing it to the libraries listed below

• ischlag / TPR-RNN
  Code for the publication Learning to Reason with Third-Order Tensor Products.
  ☆41Updated 6 years ago
• thaihungle / SAM
  Self-attentive Associative Memory & SAM-based Two-Memory Model
  ☆59Updated 3 years ago
• thaihungle / UW-DNC
  Uniform Writing & Cached Uniform Writing
  ☆27Updated 6 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆43Updated 6 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆41Updated 2 years ago
• matthewmackay / reversible-rnn
  Code for reversible recurrent neural networks
  ☆39Updated 6 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 6 years ago
• jacobandreas / l3
  Learning with latent language
  ☆51Updated 4 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
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆63Updated 5 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆50Updated 7 years ago
• yandexdataschool / gumbel_lstm
  Experiments with binary LSTM using gumbel-sigmoid
  ☆32Updated 5 years ago
• allenai / neural-wire-viz
  Javascript library for visualizing dynamic neural networks across time.
  ☆13Updated 5 years ago
• pemami4911 / REBAR-pytorch
  Implementation of REBAR in PyTorch
  ☆17Updated 7 years ago
• KyleGoyette / nnRNN
  ☆24Updated 5 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated 2 years ago
• thaihungle / Neurocoder
  Code of Neurocoder paper
  ☆14Updated 2 years ago
• facebookresearch / Permutation-Equivariant-Seq2Seq
  Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…
  ☆27Updated 5 years ago
• arthurmensch / online_sinkhorn
  ☆13Updated 5 years ago
• psavine42 / fun-with-dnc
  Pytorch Implementation of Deepmind's 'Hybrid computing using a neural network with dynamic external memory' (Differentiable Neural Comput…
  ☆19Updated 7 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 6 years ago
• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆73Updated 6 years ago
• TalkToTheGAN / REGAN
  ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators
  ☆41Updated 7 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 6 years ago
• joelouismarino / amortized-variational-filtering
  PyTorch implementation of AVF
  ☆45Updated 5 years ago
• thaihungle / PANM
  Source code for paper "Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory"
  ☆12Updated last year
• thaihungle / AJCAI22-Tutorial
  Demo code for AJCAI22-Tutorial
  ☆11Updated 2 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆119Updated 3 years ago
• EsterHlav / Dynamical-Isometry-from-Orthogonality-Neural-Nets
  Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…
  ☆17Updated 6 years ago