Bullet Physics Updated 2025-07-16
The most minimal hello world with gnuplot visualization!!! stackoverflow.com/questions/11175694/bullet-physics-simplest-collision-example/36987063#36987063
Cerebras Updated 2025-07-19
They didn't care about MLperf as of 2019: www.zdnet.com/article/cerebras-did-not-spend-one-minute-working-on-mlperf-says-ceo/
- 2023: www.eetimes.com/cerebras-sells-100-million-ai-supercomputer-plans-8-more/ Cerebras Sells $100 Million AI Supercomputer, Plans Eight More
CC BY-NC-SA 2.0 Updated 2025-07-16
CC BY-NC-SA version Updated 2025-07-16
CEA Updated 2025-07-16
Cell Updated 2025-07-16
Cell (journal) Updated 2025-07-16
Censorship of pornography Updated 2025-07-16
ELF Hello World Tutorial Executable hd Updated 2025-07-16
Running:gives:
hd hello_world.out
00000000 7f 45 4c 46 02 01 01 00 00 00 00 00 00 00 00 00 |.ELF............|
00000010 02 00 3e 00 01 00 00 00 b0 00 40 00 00 00 00 00 |..>.......@.....|
00000020 40 00 00 00 00 00 00 00 10 01 00 00 00 00 00 00 |@...............|
00000030 00 00 00 00 40 00 38 00 02 00 40 00 06 00 03 00 |....@.8...@.....|
00000040 01 00 00 00 05 00 00 00 00 00 00 00 00 00 00 00 |................|
00000050 00 00 40 00 00 00 00 00 00 00 40 00 00 00 00 00 |..@.......@.....|
00000060 d7 00 00 00 00 00 00 00 d7 00 00 00 00 00 00 00 |................|
00000070 00 00 20 00 00 00 00 00 01 00 00 00 06 00 00 00 |.. .............|
00000080 d8 00 00 00 00 00 00 00 d8 00 60 00 00 00 00 00 |..........`.....|
00000090 d8 00 60 00 00 00 00 00 0d 00 00 00 00 00 00 00 |..`.............|
000000a0 0d 00 00 00 00 00 00 00 00 00 20 00 00 00 00 00 |.......... .....|
000000b0 b8 01 00 00 00 bf 01 00 00 00 48 be d8 00 60 00 |..........H...`.|
000000c0 00 00 00 00 ba 0d 00 00 00 0f 05 b8 3c 00 00 00 |............<...|
000000d0 bf 00 00 00 00 0f 05 00 48 65 6c 6c 6f 20 77 6f |........Hello wo|
000000e0 72 6c 64 21 0a 00 2e 73 79 6d 74 61 62 00 2e 73 |rld!...symtab..s|
000000f0 74 72 74 61 62 00 2e 73 68 73 74 72 74 61 62 00 |trtab..shstrtab.|
00000100 2e 74 65 78 74 00 2e 64 61 74 61 00 00 00 00 00 |.text..data.....|
00000110 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
*
00000150 1b 00 00 00 01 00 00 00 06 00 00 00 00 00 00 00 |................|
00000160 b0 00 40 00 00 00 00 00 b0 00 00 00 00 00 00 00 |..@.............|
00000170 27 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |'...............|
00000180 10 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
00000190 21 00 00 00 01 00 00 00 03 00 00 00 00 00 00 00 |!...............|
000001a0 d8 00 60 00 00 00 00 00 d8 00 00 00 00 00 00 00 |..`.............|
000001b0 0d 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
000001c0 04 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
000001d0 11 00 00 00 03 00 00 00 00 00 00 00 00 00 00 00 |................|
000001e0 00 00 00 00 00 00 00 00 e5 00 00 00 00 00 00 00 |................|
000001f0 27 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |'...............|
00000200 01 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
00000210 01 00 00 00 02 00 00 00 00 00 00 00 00 00 00 00 |................|
00000220 00 00 00 00 00 00 00 00 90 02 00 00 00 00 00 00 |................|
00000230 08 01 00 00 00 00 00 00 05 00 00 00 07 00 00 00 |................|
00000240 08 00 00 00 00 00 00 00 18 00 00 00 00 00 00 00 |................|
00000250 09 00 00 00 03 00 00 00 00 00 00 00 00 00 00 00 |................|
00000260 00 00 00 00 00 00 00 00 98 03 00 00 00 00 00 00 |................|
00000270 4c 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |L...............|
00000280 01 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
00000290 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
000002a0 00 00 00 00 00 00 00 00 00 00 00 00 03 00 01 00 |................|
000002b0 b0 00 40 00 00 00 00 00 00 00 00 00 00 00 00 00 |..@.............|
000002c0 00 00 00 00 03 00 02 00 d8 00 60 00 00 00 00 00 |..........`.....|
000002d0 00 00 00 00 00 00 00 00 01 00 00 00 04 00 f1 ff |................|
000002e0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
000002f0 11 00 00 00 00 00 02 00 d8 00 60 00 00 00 00 00 |..........`.....|
00000300 00 00 00 00 00 00 00 00 1d 00 00 00 00 00 f1 ff |................|
00000310 0d 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
00000320 00 00 00 00 04 00 f1 ff 00 00 00 00 00 00 00 00 |................|
00000330 00 00 00 00 00 00 00 00 2d 00 00 00 10 00 01 00 |........-.......|
00000340 b0 00 40 00 00 00 00 00 00 00 00 00 00 00 00 00 |..@.............|
00000350 34 00 00 00 10 00 02 00 e5 00 60 00 00 00 00 00 |4.........`.....|
00000360 00 00 00 00 00 00 00 00 40 00 00 00 10 00 02 00 |........@.......|
00000370 e5 00 60 00 00 00 00 00 00 00 00 00 00 00 00 00 |..`.............|
00000380 47 00 00 00 10 00 02 00 e8 00 60 00 00 00 00 00 |G.........`.....|
00000390 00 00 00 00 00 00 00 00 00 68 65 6c 6c 6f 5f 77 |.........hello_w|
000003a0 6f 72 6c 64 2e 61 73 6d 00 68 65 6c 6c 6f 5f 77 |orld.asm.hello_w|
000003b0 6f 72 6c 64 00 68 65 6c 6c 6f 5f 77 6f 72 6c 64 |orld.hello_world|
000003c0 5f 6c 65 6e 00 5f 73 74 61 72 74 00 5f 5f 62 73 |_len._start.__bs|
000003d0 73 5f 73 74 61 72 74 00 5f 65 64 61 74 61 00 5f |s_start._edata._|
000003e0 65 6e 64 00 |end.|
000003e4
Acousto-optic modulator Updated 2025-07-16
An optical multiplexer!
Action (physics) Updated 2025-07-16
activatedgeek/LeNet-5 use ONNX for inference Updated 2025-07-16
Note that:
- the images must be drawn with white on black. If you use black on white, it the accuracy becomes terrible. This is a good very example of brittleness in AI systems!
- images must be converted to 32x32 for
lenet.onnx
, as that is what training was done on. The training step converted the 28x28 images to 32x32 as the first thing it does before training even starts
We can try the code adapted from thenewstack.io/tutorial-using-a-pre-trained-onnx-model-for-inferencing/ at lenet/infer.py:and it works pretty well! The program outputs:as desired.
cd lenet
cp ~/git/LeNet-5/lenet.onnx .
wget -O 9.png https://raw.githubusercontent.com/cirosantilli/media/master/Digit_9_hand_drawn_by_Ciro_Santilli_on_GIMP_with_mouse_white_on_black.png
./infer.py 9.png
9
We can also try with images directly from Extract MNIST images.and the accuracy is great as expected.
infer_mnist.py lenet.onnx mnist_png/out/testing/1/*.png
Activity tracker website Updated 2025-07-16
Add diretory prefix to ZIP on Linux CLI Updated 2025-07-16
Addiction Updated 2025-07-16
Addition Updated 2025-07-16
Additive basis Updated 2025-07-16
Adenosine diphosphate Updated 2025-07-16
Ciro Santilli's open source contributions Closed source Updated 2025-07-16
Disclaimer: closed source vendors tend to be highly secretive, solving small issues without any reply, so I use my best judgement given the lack of feedback.
City of Light: The Story of Fiber Optics Updated 2025-07-16
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