yarden / particlefeverLinks
Particle Fever: a library for particle filtering Monte Carlo inference
☆9Updated 7 years ago
Alternatives and similar repositories for particlefever
Users that are interested in particlefever are comparing it to the libraries listed below
Sorting:
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- PyMC3-like Interface for Pyro☆38Updated 5 years ago
- Turning Python into a probabilistic programming language☆19Updated 10 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- A Cython interface to FLANN☆24Updated 4 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Official Source-Code of the Modular toolkit for Data Processing (MDP)☆91Updated 7 months ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- Stochastic Gradient MCMC algorithms implemented in theano (and autograd)☆10Updated 8 years ago
- scikit-learn addon to operate on set/"group"-based features☆41Updated 9 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- ☆12Updated 3 months ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 10 years ago
- Library of composable generative population models which serve as the modeling and inference backend of BayesDB.☆25Updated last year
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 5 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Finding the best parameters for any algorithm☆42Updated 7 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆33Updated last year
- SGCRFpy: Sparse Gaussian Conditional Random Fields in Python☆29Updated 8 years ago
- A probabilistic programming framework based on TensorFlow☆87Updated 6 years ago
- Automatic differentiation for NumPy☆100Updated 10 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆16Updated last year
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Convenient hyperparameter optimization☆14Updated last year