v1.0.0

What's Changed

• Added Papers, a video and Code by @jejjohnson in #1
• More papers and applications. by @jejjohnson in #2
• Added more papers. by @jejjohnson in #4
• add Normalizing Flows with Multi-Scale Autoregressive Priors paper by @ksachdeva in #6
• Add Neural Autoregressive Flows paper by @ksachdeva in #7
• add FrEIA framework by @kleinicke in #8
• add a link to the tutorial on youtube by @ksachdeva in #10
• Added SurVAE Flows. by @hushon in #13
• add Normalizing Kalman Filters paper in applications section by @ksachdeva in #14
• add entry for ECCV 2020 video tutorial by Marcus Brubaker (@mbrubake) by @ksachdeva in #15
• Update readme - blog posts on change of variables by @MattSkiff in #16
• Add VINF by @iphysresearch in #19
• Patch 1 add InvertibleNetworks.jl by @rafaelorozco in #20
• Added pzflow to the list of Jax packages by @jfcrenshaw in #21
• add an implementation in PyTorch by @MaximeVandegar in #24
• Add "Latent Space Policies for Hierarchical Reinforcement Learning" by @hartikainen in #25
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #26
• Add flowtorch by Facebook / meta by @cranmer in #27
• Auto-generated readme by @janosh in #29
• Reverse order readme items by date by @janosh in #30
• Add full authors list for all publications by @janosh in #31
• Add https://youtu.be/7TOvhz93G9o by @janosh in #32
• Add 12 more publications by @jejjohnson in #33
• Add "Multi-scale Attention Flow for Probabilistic Time Series Forecasting" by @hanlaoshi in #36
• Add LAMPE package by @francois-rozet in #39
• Add Unconstrained Monotonic Neural Networks and Graphical Normalizing Flows by @francois-rozet in #40
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #41
• Add Jammy Flows PyTorch package by @thoglu in #43
• Define Item and Section TypedDicts in make_readme.py by @janosh in #44
• Replace LAMPE by Zuko by @francois-rozet in #46
• Add StyleFlow by @janosh in #47
• Add dark and light mode versions for readme diagrams by @janosh in #48
• Fix RNVP, MAF and MADE diagrams not showing white version in dark mode by @janosh in #49
• Added normflows to the list of PyTorch packages by @VincentStimper in #50
• pre-commit autoupdate by @pre-commit-ci in #51
• Add ruff linter by @janosh in #52
• Add 'FInC Flow: Fast and Invertible k×k Convolutions for Normalizing Flows' by @Naagar in #56
• Add 'Invertible Monotone Operators for Normalizing Flows' by @byeongkeunahn in #59
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #60
• Update the name of ICNF.jl by @prbzrg in #61

New Contributors

• @jejjohnson made their first contribution in #1
• @ksachdeva made their first contribution in #6
• @kleinicke made their first contribution in #8
• @hushon made their first contribution in #13
• @MattSkiff made their first contribution in #16
• @iphysresearch made their first contribution in #19
• @rafaelorozco made their first contribution in #20
• @jfcrenshaw made their first contribution in #21
• @MaximeVandegar made their first contribution in #24
• @hartikainen made their first contribution in #25
• @cranmer made their first contribution in #27
• @janosh made their first contribution in #29
• @hanlaoshi made their first contribution in #36
• @francois-rozet made their first contribution in #39
• @thoglu made their first contribution in #43
• @VincentStimper made their first contribution in #50
• @Naagar made their first contribution in #56
• @byeongkeunahn made their first contribution in #59
• @prbzrg made their first contribution in #61

Full Changelog: https://github.com/janosh/awesome-normalizing-flows/commits/v1.0.0