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authorMatthew Sotoudeh <matthew@masot.net>2023-08-22 23:37:01 -0700
committerMatthew Sotoudeh <matthew@masot.net>2023-08-22 23:37:01 -0700
commit9924c2d54693db09a334240f2a4863b4023c0cc9 (patch)
tree6174625d8c93bdac36d03994dd73a0ae8f406912 /README
parent65ceac5d8c2a82f3dd69980971d6bf3b6101b67c (diff)
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-Labs I've written for classes
+Labs I've written for classes:
- sat-chaff: implement a basic DPLL SAT solver, profile it, then optimize
it with the watched literals trick from Chaff
@@ -8,3 +8,10 @@ Labs I've written for classes
- static-analysis: implement a mini static analysis pass that finds some
bugs in the Linux kernel
+
+There are some "work-in-progress labs:"
+
+ - neural-net: implement a simple feed-forward neural net training &
+ inference program. the code is kind of a mess right now, but it's the
+ smallest/simplest backprop implementation I know of. one of our 240lx
+ students (Luca Pistor) even got it running on the pi.
generated by cgit on debian on lair
contact matthew@masot.net with questions or feedback