sods / ods
Open Data Science
☆33Updated last week
Alternatives and similar repositories for ods:
Users that are interested in ods are comparing it to the libraries listed below
- Code for AutoGP☆26Updated 5 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
- Fast SSE logsumexp for python/numpy☆30Updated 9 years ago
- Conventionally parameterized probability distributions☆36Updated 3 months ago
- Decorator for PyMC3☆50Updated 3 years ago
- Implementation of simulation based calibration for PyMC and Bambi☆32Updated 3 months ago
- Fully nonstationary, heteroscedastic GP for Matlab☆14Updated 4 months ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 9 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated 8 months ago
- changepoint detection for Bayesian models☆20Updated 10 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆75Updated 9 months ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 8 years ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆14Updated 2 years ago
- ☆31Updated 8 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- ☆14Updated last year
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 8 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- Code for the Bayesian Synthetic Likelihood paper by Price et al 2018 in the Journal of Computational and Graphical Statistics (volume 27,…☆13Updated 6 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 10 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago