PredictiveScienceLab / pysmcLinks
Sequential Monte Carlo working on top of pymc
☆49Updated 6 years ago
Alternatives and similar repositories for pysmc
Users that are interested in pysmc are comparing it to the libraries listed below
Sorting:
- Kernel structure discovery research code - likely to be unstable☆193Updated 10 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆188Updated 11 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- ☆240Updated 8 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆338Updated 2 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- ELFI - Engine for Likelihood-Free Inference☆276Updated 5 months ago
- Python package for modular Bayesian optimization☆137Updated 4 years ago
- Parameterization Framework for parameterized model creation and handling.☆49Updated 4 months ago
- Bayesian optimization in high-dimensions via random embedding.☆115Updated 12 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆409Updated last year
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆109Updated 7 years ago
- Just a little MCMC☆232Updated last year
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆310Updated last year
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- Optimizers for machine learning☆182Updated 2 years ago
- Python library for optimizing noisy functions.☆88Updated 3 weeks ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆36Updated 11 years ago
- Manifold Markov chain Monte Carlo methods in Python☆235Updated last week
- Modular Probabilistic Programming on MXNet☆104Updated 2 years ago
- Automatic differentiation for NumPy☆101Updated 10 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆52Updated 5 months ago
- A Python package for optimization☆60Updated 10 years ago
- Experimental code for porting PyMC to alternative backends☆26Updated 7 years ago
- Hamiltonain Monte Carlo in Python☆40Updated 5 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- ABCpy package☆116Updated last year