seer-v2.6.0

This release is estimated to add 100 Elo in self play under UHO testing conditions. This improvement in strength can be attributed to both a number of further optimizations to the network inference implementation and an improved network trained by way of several additional self play training iterations in roughly equal measure. As with the prior release, the embedded network was trained solely on data originating from Seer produced by way of many self play iterations starting with the initial "retrograde learning" network bundled with v2.0.0-v2.1.0 as a base.

ELO   | 108.05 +- 3.46 (95%)
CONF  | 40.0+0.40s Threads=1 Hash=64MB
GAMES | N: 20000 W: 8175 L: 2148 D: 9677

Thanks to everyone involved with the OpenBench project for making Seer's continued development possible!