Alternatives and similar repositories for B-CNN

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

• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆81Updated 3 years ago
• cnichkawde / MatchingNetwork
  Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080
  ☆53Updated 6 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• abhiskk / ladder
  Implementation of Ladder Network in PyTorch.
  ☆45Updated 8 years ago
• shahsohil / DCC
  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
  ☆215Updated 4 years ago
• PAN001 / Deep-Neural-Network-Ensembles-for-Extreme-Classification
  Deep Neural Network Ensembles for Extreme Classification
  ☆41Updated 6 years ago
• ksenia-konyushkova / LAL
  This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
  ☆88Updated 3 years ago
• GT-RIPL / L2C
  Learning to Cluster. A deep clustering strategy.
  ☆316Updated 5 years ago
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆57Updated 6 years ago
• hoseong-kim / sae-pytorch
  PyTorch Implementation of SAE from AtoZ
  ☆50Updated 6 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆119Updated 8 years ago
• delijati / pytorch-siamese
  Siamese Network implementation using Pytorch
  ☆279Updated 2 years ago
• ElieAljalbout / Clustering-with-Deep-learning
  Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
  ☆294Updated 7 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 8 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆327Updated 7 years ago
• dhruvramani / C2AE-Multilabel-Classification
  Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017
  ☆99Updated 7 years ago
• kingfengji / DeepMIML
  A Keras implementation of the DeepMIML Network for multi-instance multi-label learning
  ☆128Updated 8 years ago
• ML-on-structures / graph-lstm
  LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
  ☆79Updated 9 years ago
• thomlake / pytorch-attention
  pytorch neural network attention mechanism
  ☆147Updated 6 years ago
• fducau / AAE_pytorch
  ☆201Updated 8 years ago
• Riashat / Deep-Bayesian-Active-Learning
  Code for Deep Bayesian Active Learning (ICML 2017)
  ☆112Updated 7 years ago
• lzrobots / DeepEmbeddingModel_ZSL
  Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
  ☆187Updated 6 years ago
• gaohuang / SnapshotEnsemble
  Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)
  ☆188Updated 8 years ago
• MSiam / Few-Shot-Learning
  ☆100Updated 5 years ago
• seongjunyun / CNN-with-Dual-Local-and-Global-Attention
  Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
  ☆123Updated 4 years ago
• markheimann / mSDA
  Implementation and usage of marginalized stacked denoising autoencoders (mSDA)
  ☆24Updated 9 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated 2 years ago
• csyanbin / TPN
  Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
  ☆244Updated 6 years ago
• kazuto1011 / svm-pytorch
  Linear SVM with PyTorch
  ☆175Updated 2 years ago
• Tony607 / Focal_Loss_Keras
  Multi-class classification with focal loss for imbalanced datasets
  ☆82Updated 6 years ago