arnauqb / blackbirdsLinks
Black-Box Inference foR Differentiable Simulators
☆20Updated 8 months ago
Alternatives and similar repositories for blackbirds
Users that are interested in blackbirds are comparing it to the libraries listed below
Sorting:
- The Rational-Macro Agent Based Model. A Python (multi-agent) reinforcement learning interface of the "CATS" model.☆8Updated 7 months ago
- Toolbox for working with streaming data as rough paths in Python☆38Updated this week
- Signax: Signature computation in JAX☆33Updated 6 months ago
- Self-tuning HMC algorithms and evaluations☆19Updated 10 months ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆120Updated 6 months ago
- Black-box Bayesian inference for agent-based models☆23Updated 11 months ago
- Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks☆31Updated 2 weeks ago
- State of the art inference for your bayesian models.☆220Updated 3 months ago
- ☆177Updated last month
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 8 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆50Updated 4 months ago
- ☆11Updated 3 years ago
- Scattering Spectra used for the analysis and generation of time-series☆38Updated 7 months ago
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆75Updated 6 months ago
- A flexible toolkit for simulation based inference in Julia☆19Updated last month
- This is a community-driven collection of resources around amortized inference.☆44Updated 9 months ago
- Finding the conditional distributions of a Gaussian Mixture Model☆12Updated 5 years ago
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- A Julia Package for Active Inference☆33Updated this week
- A Brief Introduction to Path Signatures for Machine Learning Practitioners☆52Updated 4 years ago
- Gaussian processes in JAX and Flax.☆525Updated last month
- Community-sourced list of papers and resources on neural simulation-based inference.☆121Updated 2 months ago
- Random Matrix Theory library - RMT analysis and simulation in Python☆48Updated last year
- esig python package☆48Updated 7 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆69Updated last month
- The tiniest of Gaussian Process libraries☆314Updated this week
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Course 5SSD0 - Bayesian Machine Learning and Information Processing☆49Updated last week
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated 7 months ago