glennq / tgaLinks
Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
☆23Updated 9 years ago
Alternatives and similar repositories for tga
Users that are interested in tga are comparing it to the libraries listed below
Sorting:
- Rectified Factor Networks☆38Updated 5 years ago
- Using GP and metafeatures to grow better forests for prediction.☆10Updated 8 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Semi-Supervised t-SNE using a Bayesian prior based on partial labelling☆42Updated 8 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- Variational Bayesian Mixture of Factor Analysers☆24Updated 10 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- ☆74Updated 6 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- A Cython interface to FLANN☆24Updated 4 years ago
- A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599☆66Updated 5 years ago
- ☆98Updated 7 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated last month
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 7 years ago
- Vector-Space Markov Random Fields☆21Updated 10 years ago
- Python implementations of kNN imputation☆31Updated 8 years ago
- This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…☆26Updated 10 years ago
- ☆25Updated 9 years ago
- Topological Anomaly Detection (TAD) per Gartley and Basener 2009☆69Updated 5 years ago
- MLSS 2016 material.☆22Updated 9 years ago
- Using Genetic Algorithms to aid Machine Learning☆18Updated 7 years ago
- Notebooks in support of the UMAP paper☆44Updated 3 years ago
- Gaussian Process Regression for Python/Numpy☆14Updated 9 years ago
- tuning hyperparams automatically with spearmint☆15Updated 11 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang☆18Updated 11 years ago
- Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.☆16Updated 10 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- A Bayesian testing framework written in Python.☆94Updated 10 years ago