jstraub / bnp
C++ code and Python wrappers for Inference on Bayesian Non-Parametric Models
☆12Updated 11 years ago
Alternatives and similar repositories for bnp:
Users that are interested in bnp are comparing it to the libraries listed below
- modular implementation of new algorithm☆13Updated 10 years ago
- Dirichlet Process Mixture Model sampling-based inference algorithms☆13Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- Python algorithms for regularized regression☆24Updated 9 years ago
- Tensor Train Rank-1 decomposition☆19Updated 5 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆71Updated 12 years ago
- A Newton ADMM based solver for Cone programming.☆38Updated 7 years ago
- Code for Deep Learning class at Google☆73Updated 13 years ago
- Code for Max-Margin Deep Generative Models☆12Updated 10 years ago
- Theano based deep ANN learning code☆38Updated 14 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Source code for the paper "Real-time Pose Estimation of Deformable Objects Using a Volumetric Approach" in IROS 2014☆10Updated 10 years ago
- Perform tensor-on-tensor regression☆20Updated 5 years ago
- Bayesian nonparametric small-variance asymptotic clustering algorithms☆20Updated 7 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- Streaming, Distributed, Asynchronous Bayesian Nonparametric Inference☆12Updated 9 years ago
- Faster GP-LVM software in MATLAB.☆31Updated 3 years ago
- Python tools to build, do inference with, and learn undirected graphical models.☆14Updated 6 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Stochastic Gradient Descent☆18Updated 11 years ago
- Poisson-Gamma dynamical systems☆16Updated 8 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- Nonparametric Active Sampling☆11Updated 6 years ago
- Automatic Feature Selection☆31Updated 7 years ago
- ☆9Updated 9 years ago
- A C++ implementation of the derivative-free optimization algorithm CMA-ES.☆23Updated 11 years ago
- A Python convex optimization package using proximal splitting methods☆111Updated last year
- The information sieve for discrete variables.☆36Updated 8 years ago
- SparseAutoEncoder - Unsupervised Learning☆14Updated 12 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago