fukatani / soinn
Unsupervised Learning by SOINN (Self-Organizing Incremental Neural Network).
☆54Updated 8 years ago
Alternatives and similar repositories for soinn:
Users that are interested in soinn are comparing it to the libraries listed below
- Self-Organizing Incremental Neural Network implementation with Python☆41Updated 6 years ago
- Enhanced Self-Organizing Incremental Neural Network implementation with Python 3(E SOINN)☆20Updated 5 years ago
- Extreme Learning Machine implemented in Pytorch☆101Updated 6 years ago
- Implementation of Online Hedge Backpropagation☆51Updated 6 years ago
- ☆82Updated 5 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆37Updated 6 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 4 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 5 years ago
- Continual Learning in Recurrent Neural Networks☆37Updated 3 years ago
- Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy☆62Updated 6 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆58Updated last year
- Incremental Learning of Gaussian Mixture Models (IGMM)☆30Updated 6 years ago
- ☆10Updated 5 years ago
- Code for "Active One-shot Learning"☆33Updated 5 years ago
- Transfer Learning Toolkit for Primary Researchers☆101Updated 3 years ago
- Adversarial Attacks on Deep Neural Networks for Time Series Classification☆76Updated 4 years ago
- Implementation of Accurate Online Support Vector Regression in Python.☆84Updated 5 years ago
- Matlab Implementation of Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning☆17Updated 7 years ago
- A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework☆24Updated 7 months ago
- Data augmentation for multivariate time series classification☆27Updated 5 years ago
- Code for the PIDForest algorithm for anomaly detection☆28Updated 5 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆42Updated 2 years ago
- Code and data for Paper - Towards Open World Recognition - CVPR 2015☆21Updated 6 years ago
- ☆26Updated 6 years ago
- Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization☆96Updated 9 months ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆59Updated 6 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 7 years ago
- Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)☆53Updated 4 years ago
- Machine learning project, Master's Data Science, 2017☆10Updated 8 years ago
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python☆154Updated 5 years ago