0.1.0-b.2

Major Additions

• Initial implicit/truncated backward modes by @bamos in #29
• Adds support for energy based learning with NLL loss (LEO) by @psodhi in #30
• cusolver based batched LU solver by @maurimo in #22
• CUDA batch matrix multiplication and ops by @maurimo in #23
• CUDA-based solver class and autograd function by @maurimo in #24

What Else Changed

• Added clearer explanation at the end of Tutorial 0 and fixed doc typos by @luisenp in #2
• Default SE2/SO2 is zero element rather than torch empty. by @luisenp in #3
• Add plots to tutorials by @bamos in #25
• update text in Tutorial 2 per issue #27 by @vshobha in #31
• Update contrib and add gitattributes by @mhmukadam in #33
• update continuous integration by @maurimo in #21
• Changed TheseusLayer.forward() to receive optimizer_kwargs as a single dict by @luisenp in #45
• [hotfix] fix lint issues by @maurimo in #54
• Update version by @mhmukadam in #63

New Contributors

• @luisenp made their first contribution in #2
• @bamos made their first contribution in #25
• @vshobha made their first contribution in #31
• @maurimo made their first contribution in #21
• @mhmukadam made their first contribution in #33
• @psodhi made their first contribution in #30

Full Changelog: 0.1.0-b.1...0.1.0-b.2