stober / mdsLinks
Multidimensional Scaling in Python
☆21Updated 13 years ago
Alternatives and similar repositories for mds
Users that are interested in mds are comparing it to the libraries listed below
Sorting:
- ☆66Updated 5 years ago
- Self-Organizing Map for unsupervised feature engineering and dimensionality reduction☆21Updated 12 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- ☆11Updated 8 years ago
- AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)☆34Updated 4 years ago
- Bayesian optimization☆38Updated 5 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Bayesian optimization in high-dimensions via random embedding.☆116Updated 12 years ago
- Python/Cython wrapper for liblbfgs☆46Updated 7 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 10 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Incremental Slow Feature Analysis☆16Updated 11 years ago
- Deep Gaussian Processes in matlab☆92Updated 4 years ago
- Gaussian Process Random Fields☆21Updated 10 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 8 years ago
- Kohonen vector quantizers (SOM, NG, GNG)☆71Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 8 years ago
- ☆68Updated 3 weeks ago
- Some time series vectorization methods which could give better representation for classification / clustering or other analysis.☆11Updated 9 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 9 years ago
- Dynamic Time Warping in Python☆28Updated 13 years ago
- Reference implementation of Optimistic Expected Improvement.☆50Updated 5 years ago
- Categorical Latent Gaussian Process☆16Updated 10 years ago
- online learning for time series prediction☆13Updated 11 years ago
- modular implementation of new algorithm☆13Updated 11 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- Restricted Boltzmann Machines☆91Updated 10 years ago
- Fast Genetic Programming☆11Updated 6 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 11 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago