Tinybrain

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* release(1.3.0): performance improvements for mode pooling
* install: bump requirement to py37
* perf: faster 2x2 mode pooling (18)
* perf: enabled forgotten accelerated 2x2x2 sparse mode

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* chore: update supported versions
* release(1.2.4): increase performance of mode pooling 2x2x1
* chore: update ChangeLog
* build: update tox
* chore: replace hyphens with underscores
* docs: elaborate on why 2x2x2 is so much faster on real data
* docs: update perf numbers with fix + use connectomics.npy for seg
* perf: increase performance of mode pooling 2x2

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* release(1.2.3): fix ds segmentation crash and perf for additional dtypes
* docs: clarify mean of 10 runs
* docs: add benchmark data to README
* perf: accelerate 2x2 and 2x2x2 downsampling for num\_mips=1 for all types
* docs: add results of a perf run
* fix: loss of fourth index during recursive mode pooling
* feat(perf.py): add benchmark script

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* build: make sure sse3 is specified on x86\_64 platforms
* fix: make tinybrain build on more platforms
* build: skip py36 in CI build wheel
* release(1.2.2): fixes off-by-one error in minimum average pooling size
* build: add GHA
* fix: off-by-one error in minimum size inequality (17)
* chore: add windows py39 to appveyor
* chore: make sure BigSur can run build script

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* release(1.2.1): accomodate numpy deprecations
* fix: numpy deprecated np.int in favor of int
* chore: updated build system

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* chore: drop py27, py35
* refactor(arm64): provide non-intrinsics for non x86 code
* perf: reduce memory usage for single mip for 2x2 averaging (12)
* perf(avg2x2x2): faster and lower memory for single mips
* chore: drop py27 and py35
* fix: remove dependency on six
* perf: reduce memory usage for single mip for 2x2 averaging
* chore: update trove identifiers