lee-group-cmu / FlexCodeLinks
Implementation of Flexible Conditional Density Estimator
☆24Updated last month
Alternatives and similar repositories for FlexCode
Users that are interested in FlexCode are comparing it to the libraries listed below
Sorting:
- State of the art inference for your bayesian models.☆221Updated 4 months ago
- ☆152Updated 2 years 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
- ☆16Updated 4 months ago
- Simulation-based inference benchmark☆101Updated 7 months ago
- Self-tuning HMC algorithms and evaluations☆19Updated 10 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 10 months ago
- Conditional density estimation with neural networks☆33Updated 7 months ago
- Gaussian process modelling in Python☆222Updated 8 months ago
- Neural networks for conditional density estimation☆12Updated 5 years ago
- Exploring and eliciting probability distributions☆145Updated last month
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated last year
- ☆21Updated 11 months ago
- Public dataset repository for the Causal Chamber Project☆42Updated last month
- Just a little MCMC☆229Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated 2 months ago
- Python wrapper for nuts-rs☆172Updated this week
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆11Updated last month
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Distance correlation and related E-statistics in Python☆155Updated last year
- Random Forests for Conditional Density Estimation☆42Updated 4 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆196Updated 2 years ago
- Probabilistic Random Forest: A machine learning algorithm for noisy datasets☆130Updated last year
- The tiniest of Gaussian Process libraries☆316Updated 3 weeks ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 7 months ago
- Examples of PyMC models, including a library of Jupyter notebooks.☆343Updated 3 weeks ago
- A list of Python-based MCMC & ABC packages☆123Updated 2 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆235Updated last year
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago