v0.0.1

Major Updates

• first release / deployed pre-alpha version on pypi
• implemented optimized matmul(), 5-10x faster than naive C matmul
• added cuda backend too, not integrated in the main class yet
• dtype casting like numpy & pytorch
• all computation ops in float_32
• python interface with util functions

What's Changed

• done with basic core Array class & functions in c/c++ & python by @shivendrra in #6
• added new utility functions along with few upgrades in array class by @shivendrra in #8
• added ("dtype") casting related functionalities, implemented more ops & functions & added basic documentation by @shivendrra in #9
• added matmul() ops & fixed the bug in transpose() & updated test cases by @shivendrra in #10
• optimized the naive matmul using O(n) transpose & fixed errors with RNG by @shivendrra in #11
• CUDA kernels borrowed from shivendrra/axgrad, not complied though by @shivendrra in #12
• ready for deployment by @shivendrra in #13

New Contributors

• @shivendrra made their first contribution in #6

Full Changelog: https://github.com/delveopers/Axon/commits/0.0.1