jakevdp / wpcaLinks
Weighted Principal Component Analysis (PCA) in Python
☆156Updated 7 years ago
Alternatives and similar repositories for wpca
Users that are interested in wpca are comparing it to the libraries listed below
Sorting:
- Gaussian mixture model for incomplete (missing or truncated) and noisy data☆102Updated 3 years ago
- Principal Component Analysis (PCA) for Missing and/or Noisy Data☆81Updated 8 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated 2 months ago
- Fast and flexible Gaussian Process regression in Python☆459Updated this week
- A Python package for Approximate Bayesian Computation☆38Updated 9 years ago
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆232Updated 2 months ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- weighted quantiles with Python☆53Updated 4 years ago
- ELFI - Engine for Likelihood-Free Inference☆277Updated 3 months ago
- ABCpy package☆115Updated last year
- megaman: Manifold Learning for Millions of Points☆328Updated 2 years ago
- Randomized Dimension Reduction Library☆115Updated 4 years ago
- Python/numpy bootstrap confidence interval estimation.☆179Updated 3 weeks ago
- Python module for adaptive kernel density estimation☆62Updated 2 years ago
- Distance correlation and related E-statistics in Python☆155Updated 11 months ago
- Efficient pure Python implementation of Friedman's Supersmoother☆87Updated 2 years ago
- Scalable 1D Gaussian Processes in C++, Python, and Julia☆186Updated this week
- Python library for optimizing noisy functions.☆88Updated 3 years ago
- ☆75Updated last year
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599☆66Updated 5 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆229Updated 4 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- A list of Python-based MCMC & ABC packages☆123Updated 2 months ago
- NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.☆52Updated 4 years ago
- A Python package for performing Maximum Likelihood Estimates☆128Updated 5 years ago
- Manifold Markov chain Monte Carlo methods in Python☆232Updated 2 weeks ago
- Relevance Vector Machine implementation using the scikit-learn API.☆238Updated 2 weeks ago
- Numpy group_by and set-operations☆212Updated 2 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆339Updated 2 years ago