dritchie / probabilistic-pythonLinks
Turning Python into a probabilistic programming language
☆19Updated 11 years ago
Alternatives and similar repositories for probabilistic-python
Users that are interested in probabilistic-python are comparing it to the libraries listed below
Sorting:
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Layered distributions using FLAX/JAX☆10Updated 5 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆34Updated 6 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆88Updated last year
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 4 years ago
- PyMC3-like Interface for Pyro☆38Updated 6 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated last year
- Modeling agents with probabilistic programs☆67Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Code to reproduce the results of 👇☆18Updated 3 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 5 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- working my way through Sussman and Wisdom's Functional Differential Geometry and implementing it in Python☆46Updated 11 years ago
- Backpropagate derivatives through the Cholesky decomposition☆59Updated 5 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 3 years ago
- Variational Walkback, NIPS'17☆28Updated 8 years ago
- ☆67Updated 7 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- A topology textbook with a hubristic title☆31Updated 10 years ago
- Parameterization Framework for parameterized model creation and handling.☆49Updated 6 months ago
- Composable kernels for scikit-learn implemented in JAX.☆45Updated 5 years ago
- ☆15Updated 7 years ago