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:
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆58Updated 11 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 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
- ☆16Updated 9 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 10 years ago
- Matlab code for the area under the receiver operating curve (AUC) and confidence intervals☆16Updated 10 years ago
- A Python convex optimization package using proximal splitting methods☆115Updated 2 weeks ago
- Variational Bayesian GP-LVM model in MATLAB.☆12Updated 10 years ago
- MATLAB Tensor Tools☆88Updated 4 years ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆36Updated 4 years ago
- Automatic ROI Detection☆19Updated 9 years ago
- MixEst: A MATLAB toolbox for mixture-model parameter estimation☆16Updated 7 years ago
- Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)☆19Updated last year
- Mutual Information functions for C and MATLAB☆143Updated 7 years ago
- lightspeed matlab toolbox☆134Updated 4 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- Canonical Correlation Forests☆21Updated 7 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆71Updated 12 years ago
- Benchmark of online PCA algorithms☆22Updated 7 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 5 years ago
- Pattern Recognition Toolbox for MATLAB☆145Updated 6 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
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- Variational Bayes linear and logistic regression☆34Updated 6 years ago
- My PhD Thesis☆22Updated 9 years ago