Alternatives and similar repositories for misvm:

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

• macarbonneau / MILSurvey
  Code for Experiments in “Multiple Instance Learning: A Survey of Problem Characteristics and Applications,”
  ☆36Updated 7 years ago
• dancsalo / TensorFlow-MIL
  TF Implementation of Multiple Instance Learning FCN.
  ☆90Updated 4 years ago
• kingfengji / DeepMIML
  A Keras implementation of the DeepMIML Network for multi-instance multi-label learning
  ☆129Updated 7 years ago
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆123Updated 5 years ago
• jmarrietar / MILpy
  Multiple-Instance Learning Python Toolbox
  ☆19Updated 8 years ago
• ksenia-konyushkova / LAL
  This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
  ☆87Updated 2 years ago
• yanyongluan / MINNs
  Codes for our paper "Revisiting Multiple Instance Neural Networks".
  ☆66Updated 7 years ago
• jwyang / JULE.torch
  Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"
  ☆291Updated 5 years ago
• zackchase / icu_rnn
  Public repository for multilabel classification of medical diagnoses with LSTM RNNs
  ☆42Updated 8 years ago
• danielfrg / tsne
  A python wrapper for Barnes-Hut tsne
  ☆409Updated 2 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆105Updated 5 years ago
• utayao / Atten_Deep_MIL
  Attention-based Deep MIL implementation and application
  ☆157Updated 3 years ago
• shahsohil / DCC
  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
  ☆214Updated 3 years ago
• junliangma / gbssl
  Graph-Based Semi-Supervised Learning Algorithms
  ☆23Updated 9 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 6 years ago
• AMLab-Amsterdam / AttentionDeepMIL
  Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
  ☆883Updated last year
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 3 years ago
• piiswrong / dec
  ☆478Updated 5 years ago
• ElieAljalbout / Clustering-with-Deep-learning
  Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
  ☆293Updated 6 years ago
• JihongJu / deep-pu-learning
  Deep Learning with Positive and Unlabeled samples
  ☆54Updated 7 years ago
• lmzintgraf / DeepVis-PredDiff
  Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
  ☆118Updated 7 years ago
• RigautAntoine / deep-computational-phenotyping-papers
  An attempted survey of the current state of Computational Phenotyping, i.e. the use of deep learning for extracting insight from large El…
  ☆22Updated 8 years ago
• robi56 / Survival-Analysis-using-Deep-Learning
  This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
  ☆215Updated last year
• KlugerLab / SpectralNet
  Deep network that performs spectral clustering
  ☆324Updated 2 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• sramirez / fast-mRMR
  An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
  ☆83Updated 3 years ago
• kylemcdonald / Parametric-t-SNE
  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
  ☆266Updated 5 years ago
• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆40Updated 8 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆503Updated 3 years ago
• HazyResearch / tanda
  Learning to Compose Domain-Specific Transformations for Data Augmentation
  ☆173Updated 2 years ago