lee-group-cmu / FlexCodeLinks
Implementation of Flexible Conditional Density Estimator
☆23Updated 2 years ago
Alternatives and similar repositories for FlexCode
Users that are interested in FlexCode are comparing it to the libraries listed below
Sorting:
- Neural networks for conditional density estimation☆12Updated 5 years ago
- Random Forests for Conditional Density Estimation☆42Updated 4 years ago
- State of the art inference for your bayesian models.☆219Updated last month
- Conditional density estimation with neural networks☆31Updated 5 months ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Python wrapper for nuts-rs☆152Updated last week
- ☆152Updated 2 years ago
- Self-tuning HMC algorithms and evaluations☆19Updated 8 months ago
- Simulation-based inference benchmark☆97Updated 5 months ago
- Public dataset repository for the Causal Chamber Project☆42Updated last month
- Package implementing various parametric and nonparametric methods for conditional density estimation☆197Updated 2 years ago
- ☆15Updated 2 months ago
- Exploring and eliciting probability distributions☆139Updated last week
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 5 months ago
- ABCpy package☆114Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 8 months ago
- Just a little MCMC☆227Updated last year
- Collection of resources from each meetup event☆13Updated 4 years ago
- A framework for composing Neural Processes in Python☆85Updated 6 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- Solve ODEs fast, with support for PyMC☆114Updated last year
- ☆21Updated 8 months ago
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆11Updated last year
- Bayesian inference and posterior analysis for Python☆44Updated last year
- The tiniest of Gaussian Process libraries☆311Updated last week
- Powerful add-ons for PyMC☆105Updated last week