Wolf Byttner WolfByttner
WolfByttner
/ mlp.py
Created
February 28, 2025 13:07
Sub-ms sine curve prediction (demonstrating M1 hardware performance)
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| import torch | |
| import torch.nn as nn | |
| import torch.optim as optim | |
| import time | |
| import numpy as np | |
| print("This code example demonstrates how to train a simple MLP model for price prediction using PyTorch.") | |
| print("The model is trained on a sine wave and tested on a shifted sine wave.") | |
| print("The goal is to demonstrate sub-ms latency for price prediction using PyTorch") | |
| print("on Mac M1-M4 with Metal Performance Shaders (MPS) enabled.") |
WolfByttner
/ pycon_matlab.py
Last active
January 3, 2024 12:52
Python Console Execution with Matplotlib support for SuperFences
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| """ | |
| Execute Python code in code blocks and construct a interactive Python console output. | |
| This allows you to write code examples, but then execute them, showing the results. | |
| https://github.com/facelessuser/pymdown-extensions/issues/1690 | |
| Original Gist: https://gist.github.com/facelessuser/53fa4d93f27c252fda813b5e0ba7325c | |
| Matplotlib Gist: https://gist.github.com/WolfByttner/e0b855e4b80b9742647411c51c8dfe55 | |
| --- |