Netron by Ciro Santilli 37 Updated 2025-07-16
ONNX visualizer.
Figure 1.
Netron visualization of the activatedgeek/LeNet-5 ONNX output
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This is a good concept. For the ammount most people save, having a simple and easy to apply investment thesis is the best way to go.
Video 1.
All the financial advice you’ll ever need fits on a single index card
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Finance guru by Ciro Santilli 37 Updated 2025-07-16
A person who gives financial advice, notably personal finance advice. Some of them are questinable guru-like beings, and many are on YouTube.
NumPy does not automatically use the GPU for it: stackoverflow.com/questions/49605231/does-numpy-automatically-detect-and-use-gpu, and PyTorch is one of the most notable compatible implementations, as it uses the same memory structure as NumPy arrays.
Sample runs on P51 to observe the GPU speedup:
$ time ./matmul.py g 10000 1000 10000 100
real    0m22.980s
user    0m22.679s
sys     0m1.129s
$ time ./matmul.py c 10000 1000 10000 100
real    1m9.924s
user    4m16.213s
sys     0m17.293s
PyTorch model by Ciro Santilli 37 Updated 2025-08-08
This section lists specific models that have been implemented in PyTorch.
torchvision by Ciro Santilli 37 Updated 2025-07-16
Contains several computer vision models, e.g. ResNet, all of them including pre-trained versions on some dataset, which is quite sweet.

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