shimazaki / density_estimationLinks
density_estimation
☆29Updated 6 years ago
Alternatives and similar repositories for density_estimation
Users that are interested in density_estimation are comparing it to the libraries listed below
Sorting:
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- A Python convex optimization package using proximal splitting methods☆112Updated last year
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆58Updated 11 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- Variational Bayesian GP-LVM model in MATLAB.☆12Updated 10 years ago
- Pattern Recognition Toolbox for MATLAB☆146Updated 6 years ago
- A matlab library for CUR matrix decomposition☆27Updated 7 years ago
- ☆16Updated 9 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 7 years ago
- Material for the Advanced Scientific Programming in Python course on data visualization☆17Updated 6 years ago
- Automatic ROI Detection☆19Updated 9 years ago
- Matlab code for the area under the receiver operating curve (AUC) and confidence intervals☆16Updated 10 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 5 years ago
- lightspeed matlab toolbox☆134Updated 4 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- MATLAB Tensor Tools☆88Updated 4 years ago
- Bayesian Data Analysis demos for Matlab/Octave☆64Updated 5 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.☆18Updated 8 years ago
- Visualize optimization algorithms in MATLAB.☆153Updated 3 years ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆36Updated 4 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Black box variational inference for state space models☆2Updated 9 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- An implementation of SVM+☆26Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Code for AutoGP☆27Updated 6 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago