jjrob13 / sklearn_cotraining
An implementation of the Co-Training semi-supervised learning technique from (Blue, Mitchell 1998) that is meant to work well with scikit-learn classifiers.
☆74Updated 5 years ago
Alternatives and similar repositories for sklearn_cotraining:
Users that are interested in sklearn_cotraining are comparing it to the libraries listed below
- Transfer learning algorithm TrAdaboost,coded by python☆121Updated 2 years ago
- Stacked Denoising AutoEncoder☆75Updated 5 years ago
- Tri Training, Tri Training with Disagreement☆22Updated 6 years ago
- The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".☆44Updated 5 years ago
- Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles☆90Updated 8 years ago
- Active semi-supervised clustering algorithms for scikit-learn☆98Updated 4 years ago
- Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017☆100Updated 7 years ago
- Scikit-learn style implementation of TrAdaBoost algorithm☆36Updated 7 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 5 years ago
- Library of transfer learners and domain-adaptive classifiers.☆90Updated 6 years ago
- Domain-Adversarial Neural Network in Tensorflow☆37Updated 6 years ago
- TensorFlow Implementation of TCN (Temporal Convolutional Networks)☆111Updated 6 years ago
- ☆15Updated 9 years ago
- ☆29Updated 6 years ago
- ☆44Updated 6 years ago
- Package to apply MTL on a few dataset☆26Updated 7 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- Online multiclass boosting algorithm that uses VFDT as weak learners☆16Updated 6 years ago
- Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.☆59Updated 6 years ago
- Semi-Supervised Learning Method for Deep Neural Networks☆28Updated 7 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- Outlier Detection for Time Series with Recurrent Autoencoder Ensembles☆71Updated 5 years ago
- GAAL-based Outlier Detection☆131Updated 2 years ago
- Deep Learning with Positive and Unlabeled samples☆54Updated 7 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 6 years ago
- Python codes for weakly-supervised learning☆121Updated 4 years ago
- Graph-Based Semi-Supervised Learning Algorithms☆23Updated 8 years ago
- Synthetic Minority Over-sampling Technique☆38Updated 7 years ago
- Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction☆121Updated 3 years ago
- Multi-Task Learning in NLP☆94Updated 7 years ago