mmp2 / megamanLinks
megaman: Manifold Learning for Millions of Points
☆331Updated 2 years ago
Alternatives and similar repositories for megaman
Users that are interested in megaman are comparing it to the libraries listed below
Sorting:
- Scikit-learn compatible estimation of general graphical models☆248Updated 4 months ago
- Render probabilistic graphical models using matplotlib☆682Updated this week
- ELFI - Engine for Likelihood-Free Inference☆277Updated 5 months ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Python package for modular Bayesian optimization☆137Updated 4 years ago
- Kernel structure discovery research code - likely to be unstable☆193Updated 10 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Randomized online matrix factorization☆140Updated 5 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆339Updated 2 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- Python library for multilinear algebra and tensor factorizations☆407Updated 7 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆521Updated 4 years ago
- Dirichlet MLE python library☆117Updated 2 months ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- ☆99Updated 7 years ago
- PCA that iteratively replaces missing data☆223Updated last year
- ☆240Updated 8 years ago
- ☆155Updated 6 years ago
- Flexible HDF5 saving/loading and other data science tools from the University of Chicago☆273Updated last year
- Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters☆277Updated last year
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Simple structured learning framework for python☆668Updated 4 years ago
- Topological Data Analysis in Python☆170Updated 6 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- Fast and flexible Gaussian Process regression in Python☆459Updated last week
- Fast Randomized PCA/SVD☆497Updated 6 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Updated 6 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- Python implementation of elastic-net regularized generalized linear models☆284Updated 2 years ago