Performance: upgrade to latest ann-benchmarks (alexklibisz#655)

.gitmodules

@@ -1,4 +1,4 @@
 [submodule "ann-benchmarks/ann-benchmarks"]
 	path = ann-benchmarks/ann-benchmarks
-	url = https://github.com/alexklibisz/ann-benchmarks.git
-	branch = fix-get-algorithm-definitions
+	url = https://github.com/erikbern/ann-benchmarks.git
+	branch = main

docs/pages/performance/fashion-mnist/results.md

@@ -1,10 +1,10 @@
 |Model|Parameters|Recall|Queries per Second|
 |---|---|---|---|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.378|382.992|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.446|322.386|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.634|301.434|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.716|266.643|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|340.303|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.847|294.373|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.922|233.123|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|207.765|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.379|392.939|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.447|334.503|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.635|308.154|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.717|270.359|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|347.401|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.847|296.976|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.922|238.273|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|210.018|