BayesForge
Bayesian Inference using 'numpyro' and 'XLA'
A high-performance probabilistic programming library that aims to unify the modeling experience by providing an intuitive model-building syntax together with the flexibility of low-level abstraction coding. It also includes pre-built functions for high-level abstraction and supports hardware-accelerated computation for improved scalability, including parallelization, vectorization, and execution on CPU (Central Processing Unit), GPU (Graphics Processing Unit), or TPU (Tensor Processing Unit) using 'JAX' (Just-In-Time compiled Accelerated linear algebra) as the computational backend: Sosa (2026) <doi:10.64898/2026.01.19.700318>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.1 |
rolling linux/jammy R-4.5 | BayesForge_0.0.1.tar.gz |
422.6 KiB |
0.0.1 |
rolling linux/noble R-4.5 | BayesForge_0.0.1.tar.gz |
421.5 KiB |
0.0.1 |
rolling source/ R- | BayesForge_0.0.1.tar.gz |
90.9 KiB |
0.0.1 |
latest linux/jammy R-4.5 | BayesForge_0.0.1.tar.gz |
422.6 KiB |
0.0.1 |
latest linux/noble R-4.5 | BayesForge_0.0.1.tar.gz |
421.5 KiB |
0.0.1 |
latest source/ R- | BayesForge_0.0.1.tar.gz |
90.9 KiB |
0.0.1 |
2026-04-23 source/ R- | BayesForge_0.0.1.tar.gz |
0 B |