zidik / Self-labeled-techniques-for-semi-supervised-learning

Related projects: ⓘ

• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆50Updated 6 years ago
• ej0cl6 / csmlc
  Cost-Sensitive Multi-Label Classification
  ☆19Updated 6 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆25Updated 7 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 6 years ago
• junliangma / gbssl
  Graph-Based Semi-Supervised Learning Algorithms
  ☆23Updated 8 years ago
• airanmehr / cssvm
  Cost-Sensitive Support Vector Machines
  ☆33Updated 8 years ago
• nlhepler / mrmr
  minimum Redundancy Maximum Relevance
  ☆21Updated 12 years ago
• PAN001 / Deep-Neural-Network-Ensembles-for-Extreme-Classification
  Deep Neural Network Ensembles for Extreme Classification
  ☆42Updated 5 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆60Updated 7 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 7 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 5 years ago
• s4sarath / Deep-Learning-Projects
  ☆17Updated 4 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 5 years ago
• mutantturkey / PyFeast
  ☆62Updated this week
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆53Updated 5 years ago
• harusametime / RUSBoost
  Classifier of imbalanced data by boosting with random under sampling
  ☆28Updated 5 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• mrottmann / DeepBASS
  Deep Bayesian Active Semi-Supervised Learning
  ☆11Updated 6 years ago
• fferroni / DEC-Keras
  Deep Embedding Clustering in Keras
  ☆129Updated 7 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 7 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 6 years ago
• Kipok / clr_prediction
  ☆17Updated 5 years ago
• mlberkeley / Meta-Learning-Worskhop
  ☆16Updated 6 years ago
• deerishi / graph-based-semi-supervised-learning
  This project explores the different techniques (both scalable and non scalable) for Graph based semi supervised learning. Recent techniqu…
  ☆14Updated 8 years ago
• FJR-Nancy / joint-cluster-cnn
  A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).
  ☆25Updated 5 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆37Updated 6 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆74Updated 10 years ago
• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆39Updated 7 years ago
• cravisjan97 / Deep-Clustering
  A Convolutional Neural Network based model for Unsupervised Learning
  ☆33Updated 7 years ago
• datamole-ai / active-semi-supervised-clustering
  Active semi-supervised clustering algorithms for scikit-learn
  ☆95Updated 4 years ago