rmgarnett / active_learningLinks
Active learning toolbox for MATLAB
☆46Updated 7 years ago
Alternatives and similar repositories for active_learning
Users that are interested in active_learning are comparing it to the libraries listed below
Sorting:
- A MATLAB implementation of Auto-Encoding Variational Bayes☆46Updated 8 years ago
- Matlab Environment for Deep Architecture Learning☆109Updated 11 years ago
- Multi-task learning via Structural Regularization☆133Updated 4 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆71Updated 12 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwr…☆36Updated 11 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆189Updated 10 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- ☆74Updated 6 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 9 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆93Updated 7 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- Dropout As A Bayesian Approximation: Code☆202Updated 10 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆147Updated 9 years ago
- A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.☆72Updated 2 years ago
- An implementation of SVM+☆26Updated 8 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- A matlab library for CUR matrix decomposition☆27Updated 7 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago