probml / pmtkdataLinks
A collection of MATLAB data sets used by PMTK.
☆57Updated 11 years ago
Alternatives and similar repositories for pmtkdata
Users that are interested in pmtkdata are comparing it to the libraries listed below
Sorting:
- Various packages used by PMTK.☆56Updated 6 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆191Updated 10 years ago
- Sparse Filtering☆220Updated 13 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- A Library for Ensemble Learning Using Support Vector Machines☆106Updated 11 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 10 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- An implementation of SVM+☆26Updated 9 years ago
- Torch package for metric learning.☆43Updated 8 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆122Updated 8 years ago
- Deep learning code by Hinton☆93Updated 13 years ago
- Optimizers for machine learning☆183Updated 2 years ago
- Deep Learning and Unsupervised Feature Learning Tutorial Solutions☆393Updated 8 years ago
- Pattern Recognition Toolbox for MATLAB☆145Updated 6 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 8 years ago
- Convolutional Neural Networks for Matlab for classification and segmentation, including Invariang Backpropagation (IBP) and Adversarial T…☆239Updated 9 years ago
- One-Class SVM implementations for temporal segmentation of human activities☆54Updated 11 years ago
- Matlab GPU Accelerated Deep Learning Toolbox☆70Updated 9 years ago
- Online Random Forests☆89Updated 10 years ago
- Code for Deep Learning class at Google☆73Updated 14 years ago
- Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).☆71Updated 6 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- Common Code Workflow tutorial on Theano☆60Updated 8 years ago
- Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book☆76Updated 5 years ago
- Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.☆129Updated 4 years ago
- Matlab Environment for Deep Architecture Learning☆109Updated 11 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 9 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆59Updated 9 years ago
- ☆68Updated last year