Lampe

✨ What's new

* Neural autoregressive flow (NAF) implementation (81a22d315878f0be3e92d8f3820bf817b55b2013)

**Full Changelog**: https://github.com/probabilists/lampe/compare/v0.4.2...v0.4.4

✨ What's new

* Move inference components to `lampe.inference` module (257ab9eeeab5934cdf669c9c6464f9ec1e0bcce3)
* Drop `nflows` dependency for built-in normalizing flows (07f96c3616070b8c7f5739415c99986d49398bfa)

🐛 Bug fixes

* Fix missing imports (40f6a94330e973408b00306fcf0ed6bed5554b72)

**Full Changelog**: https://github.com/probabilists/lampe/compare/v0.3.0...v0.4.2

✨ What's new

* Neural networks (b591837c46b804cc9cf2db7bffbe9d282335906d) and normalizing flows (a6ece08c9c216a92e722b4c999e51676ebb7aa57)
* Toy simulators (f5505d8f0006a2e7ca9f59cc7517d4faea9663d0, 351e8c3dfd365d0d6b64f1297a1aef698c7e2fa5)
* Training pipelines (4b8c05606f18943d1fe1ab8471214d83cf8fdc81, ace0960c3ecc3ba0ad3dba5c0cf23caa18f11593)
* Custom corner plot (8996a10e03b35d6f6a89a3ee74da7845b805a844)

📝 Documentation

* NRE and NPE notebooks (16ea56429d6bd43d54779f5393dce6f3d21ff6e1, 2059a405d95485d03850ea2cb7c4a3868b391797)
* Full Sphinx documentation (af9bf9a7872b9da7630afd59c3c83f31ba93b97b)