arnauqb / blackbirdsLinks
Black-Box Inference foR Differentiable Simulators
☆20Updated 10 months ago
Alternatives and similar repositories for blackbirds
Users that are interested in blackbirds are comparing it to the libraries listed below
Sorting:
- Toolbox for working with streaming data as rough paths in Python☆40Updated this week
- Signax: Signature computation in JAX☆35Updated 8 months ago
- Black-box Bayesian inference for agent-based models☆24Updated last year
- Scattering Spectra used for the analysis and generation of time-series☆39Updated 9 months ago
- Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks☆31Updated 3 weeks ago
- Self-tuning HMC algorithms and evaluations☆19Updated 11 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆126Updated 4 months ago
- ☆188Updated last month
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆121Updated 7 months ago
- State of the art inference for your bayesian models.☆222Updated 4 months ago
- The tiniest of Gaussian Process libraries☆317Updated 3 weeks ago
- Finding the conditional distributions of a Gaussian Mixture Model☆12Updated 5 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆70Updated 3 months ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- Simulation-based inference benchmark☆102Updated 8 months ago
- Gaussian processes in JAX and Flax.☆538Updated last week
- Simulation-based inference in JAX☆35Updated 5 months ago
- A framework for composing Neural Processes in Python☆85Updated 9 months ago
- Powerful add-ons for PyMC☆116Updated last week
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated 9 months ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 9 months ago
- Solve ODEs fast, with support for PyMC☆114Updated last year
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆11Updated 2 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆74Updated 4 months ago
- Structural Time Series in JAX☆199Updated last year
- A Brief Introduction to Path Signatures for Machine Learning Practitioners☆54Updated 4 years ago
- ☆11Updated 3 years ago
- esig python package☆48Updated 9 months ago