Alternatives and similar repositories for chainer-nri:

Users that are interested in chainer-nri are comparing it to the libraries listed below

• c-swm / c-swm
  This repository has moved to: https://github.com/tkipf/c-swm
  ☆27Updated 5 years ago
• IuliaDuta / RSTG
  ☆39Updated 4 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• msobroza / SparsemaxPytorch
  SparseMax activation function implementation (ICML 2016) (PyTorch)
  ☆27Updated 7 years ago
• enalisnick / mixture_density_VAEs
  Variational Autoencoders with Gaussian Mixture Latent Space
  ☆36Updated 7 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 8 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• foxlf823 / DilatedRnn
  A PyTorch implement of Dilated RNN
  ☆11Updated 7 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago
• Zhiyuan1991 / proVLAE
  ☆27Updated 5 years ago
• diningphil / CGMM
  Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)
  ☆36Updated 2 years ago
• d909b / ame
  🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…
  ☆41Updated 2 years ago
• paruby / DIP-VAE
  An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…
  ☆25Updated 7 years ago
• odegeasslbc / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• imd-iclr / imd
  The Shape of Data: Intrinsic Distance for Comparing Data Distributions
  ☆12Updated 5 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• sordonia / zforcing
  ZForcing Repo
  ☆40Updated 7 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• arrigonialberto86 / set_transformer
  A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'
  ☆31Updated last year
• edouardpineau / infoCatVAE
  Github page for the preprint paper "InfoCatVAE: Representation Learning with Categorical Variational Autoencoders"
  ☆14Updated 4 years ago
• pratikm141 / MMD-Variational-Autoencoder-Pytorch-InfoVAE
  Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
  ☆42Updated 4 years ago
• mlresearch / v97
  Proceedings of ICML 2019
  ☆33Updated 2 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆16Updated 5 years ago
• brekelma / echo
  Echo Noise Channel for Exact Mutual Information Calculation
  ☆17Updated 4 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• delta2323 / GB-GNN
  Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
  ☆13Updated 4 years ago
• ethanwharris / STAWM
  Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'
  ☆21Updated 5 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 5 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 3 years ago
• seuqaj114 / paig
  Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video
  ☆41Updated last year