Alternatives and similar repositories for X-CNN:

Users that are interested in X-CNN are comparing it to the libraries listed below

• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 7 years ago
• divelab / gunet
  Pytorch implementation of Graph U-Nets (ICML19)
  ☆10Updated 4 years ago
• RobRomijnders / dan
  Domain Agnostic Normalization layer for Unsupervised Domain Adaptation
  ☆11Updated 2 years ago
• divelab / vqa-text
  ☆19Updated 5 years ago
• asanakoy / cliquecnn
  Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792
  ☆23Updated 7 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆58Updated 6 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 7 years ago
• wangzheallen / STL-VQA
  The good practice in the VQA system such as pos-tag attention, structed triplet learning and triplet attention is very general and can be…
  ☆20Updated 6 years ago
• blengerich / explainable-cnn
  Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
  ☆14Updated 7 years ago
• david-abel / aaai_2019
  Conference notes for AAAI 2019
  ☆15Updated 5 years ago
• chuckyee / dilated-densenet
  Dilated DenseNets
  ☆15Updated 7 years ago
• eureka7mt / chexnet-mxnet
  A mxnet implementation of CheXNet
  ☆8Updated 6 years ago
• delta2323 / GB-GNN
  Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
  ☆13Updated 4 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆12Updated 6 years ago
• AdrienLE / loss_kaggle_2018
  Investigation of focal and dice loss for the Kaggle 2018 data science bowl.
  ☆18Updated 6 years ago
• c-swm / c-swm
  This repository has moved to: https://github.com/tkipf/c-swm
  ☆27Updated 5 years ago
• facebookresearch / binary-image-selection
  BISON: Binary Image SelectiON
  ☆49Updated 3 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 5 years ago
• arthurdouillard / awesome-deeplearning-papers
  A collection of Deep Learning papers I read, sorted by category.
  ☆9Updated 6 years ago
• jramapuram / LifelongVAE
  Lifelong Variational Autoencoder
  ☆14Updated 7 years ago
• doerlbh / UnsupervisedAttentionMechanism
  Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
  ☆21Updated 3 years ago
• zqs1022 / partGraphForCNN
  growing interpretable part graphs on convnets via multi-shot learning, in AAAI 2017
  ☆16Updated 7 years ago
• gssci / NGM-sentiment-analysis
  Implementation of Neural Graph Machine inspired by the paper [2017 - Bui, Ravi Ramavajjala - Neural Graph Machines: Learning Neural Netwo…
  ☆20Updated 6 years ago
• alokwhitewolf / Class-Activation-Mappings
  Visualizing where the Convolution Network is looking through CAM.
  ☆19Updated 6 years ago
• fraenkel-lab / GSLR
  An algorithm for classification from a graph-sparse support
  ☆15Updated 5 years ago