Alternatives and similar repositories for Graph-Reading-Group

Users that are interested in Graph-Reading-Group are comparing it to the libraries listed below

• Chillee / OpenReviewExplorer
  Explore OpenReview papers for ICLR (with citation counts, acceptance status, and ratings)!
  ☆90Updated 4 years ago
• shagunsodhani / Graph-Reading-Group
  Weekly reading group on Graphs at Mila
  ☆282Updated 6 years ago
• graphreason / graphreason.github.io
  Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)
  ☆26Updated 6 years ago
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆63Updated 5 years ago
• liupeng3425 / interpretable-research
  I collected some papers about interpretable CNN and reorganized them here.
  ☆132Updated 7 years ago
• authors-1901-10912 / A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
  ☆127Updated 6 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆101Updated 5 years ago
• xbresson / spatial_graph_convnets
  PyTorch implementation of residual gated graph ConvNets, ICLR’18
  ☆124Updated 7 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆54Updated 6 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆16Updated 5 years ago
• sjoerdvansteenkiste / Neural-EM
  Code for the "Neural Expectation Maximization" paper.
  ☆126Updated 2 years ago
• kdexd / probnmn-clevr
  Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
  ☆67Updated 2 years ago
• deeplearning-math / deeplearning-math.github.io
  A Course on Mathematical Theories of Deep Learning
  ☆79Updated 4 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆41Updated 2 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆43Updated 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
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago
• csyanbin / Few-shot-Meta-learning-papers
  Recent few-shot meta-learning papers
  ☆85Updated 7 years ago
• 2prime / Paper-Reading
  Paper Reading
  ☆72Updated 7 years ago
• shaohua0116 / ICLR2019-OpenReviewData
  Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
  ☆387Updated 5 years ago
• Gordonjo / versa
  Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"
  ☆69Updated 4 years ago
• XuezheMax / mae
  MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
  ☆23Updated 6 years ago
• david-abel / neurips_2019
  Notes from NeurIPS 2019
  ☆29Updated 5 years ago
• xbresson / spectral_graph_convnets
  PyTorch implementation of spectral graph ConvNets, NeurIPS’16
  ☆292Updated 8 years ago
• yichousun / Winter2021_CS249_GNN
  ☆54Updated 2 years ago
• sbos / gmn
  Generative Matching Networks
  ☆29Updated 8 years ago
• rdevon / cortex
  A machine learning library for PyTorch
  ☆94Updated 3 years ago
• ermongroup / neuralsort
  Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
  ☆146Updated 2 years ago
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆122Updated 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