sods / ods
Open Data Science
☆33Updated 3 months ago
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
- Decorator for PyMC3☆50Updated 3 years ago
- Conventionally parameterized probability distributions☆35Updated 5 months ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆14Updated 2 years ago
- Simulation based calibration and generation of synthetic data.☆49Updated this week
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆19Updated this week
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- ☆31Updated 8 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 3 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- active learning + reusable workflows + likelihood free inference☆60Updated 7 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated 11 months ago
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆24Updated 3 years ago
- A Python package for Approximate Bayesian Computation☆36Updated 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
- Home for the computational inference reading group.☆17Updated 4 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 8 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- Notebook tutorials☆14Updated last year
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- Fully nonstationary, heteroscedastic GP for Matlab☆14Updated 7 months ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 6 years ago
- Experimental code for porting PyMC to alternative backends☆26Updated 7 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- Formulas for mixed-effects models in Python☆58Updated last month
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 8 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆16Updated 11 months ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago