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GChevalier
searching Neon…
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7 ms
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1.
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by
GChevalier
2y ago
Another option is to create functions in the bashrc, they can contain logic like the suggested bin approach.
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GChevalier
3y ago
This is amazing. I want this.
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GChevalier
4y ago
I admit I chuckled at "You are not entitled to this explanation" while reading the article. How far can it go xD
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Neuraxle – A Clean Machine Learning Framework
(neuraxle.org)
27 points
by
GChevalier
6y ago
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0 comments
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No Fear for Deep Learning
(guillaume-chevalier.com)
2 points
by
GChevalier
6y ago
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0 comments
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GChevalier
6y ago
Please someone do a PyCharm plugin for this!
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GChevalier
6y ago
You make me think of Azure ML studio.
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Perfect Empty Python Project Template
(github.com)
3 points
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GChevalier
6y ago
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0 comments
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Growing Neat Software Architecture from Notebooks
(youtube.com)
2 points
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GChevalier
7y ago
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How to Code Neat Machine Learning Pipelines
(neuraxio.com)
5 points
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GChevalier
7y ago
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0 comments
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GChevalier
7y ago
> "The relationship of spike-time-dependent plasticity to other models requires further clarifying work" - I got something for that, in fact I think I discovered that backpropagation engenders STDP: https://github.co
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GChevalier
7y ago
> "The relationship of spike-time-dependent plasticity to other models requires further clarifying work" - I got something for that, in fact I think I discovered that backpropagation engenders STDP: https://github.co
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LSTM for Human Activity Recognition
(guillaume-chevalier.com)
2 points
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GChevalier
7y ago
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0 comments
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Porter.io: A GitHub Repository Analyzer
(porter.io)
1 points
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GChevalier
7y ago
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0 comments
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Just What You Need to Start a New Python Project
(github.com)
3 points
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GChevalier
7y ago
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0 comments
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GChevalier
8y ago
Thanks for pointing out to "phase unwrapping", I didn't know it had a name! Interesting.
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GChevalier
8y ago
Also, I forgot: to improve convergence, I'd use an Hann-Poisson window such as here: https://en.wikipedia.org/wiki/Window_function#Hann%E2%80%93P... I'd apply the window to randomly-sampled mini-batches of c
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GChevalier
8y ago
I would have instead done like this: (tldr; use a sine and cosine function regression like a linear regression. Think like solving for a free angle and a free phase instead than for a free bias and weight). 1. Convert the hours to an angle
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Figuring Out Embedding-Free Neural Networks for NLP: Reproducing Research
(stackoverflow.com)
3 points
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GChevalier
8y ago
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0 comments
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GChevalier
8y ago
Also, you should be able to use your favorite editor for the code outside notebooks (over time, more and more of the code will be outside of your notebook). You might often work in the editor, and at other times in the notebook depending on
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by
GChevalier
8y ago
Never tried macOS, but matplotlib works fine under Windows and Linux. Maybe you could save plots to images on disks and prevent them to show? I once ran code that used PLT on a server and I needed to use something like `matplotlib.use('
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GChevalier
8y ago
Author here. Whoa, thank you all for the nice comments, I didn't expect to make such a buzz here nor today. I'm glad to see the reactions - even the bad ones, it seems aligned with what I thought. Yes, notebooks are very useful fo
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GChevalier
8y ago
https://news.ycombinator.com/item?id=13049143
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GChevalier
8y ago
> How can Google possibly predict activity type between IN_TWO_WHEELER_VEHICLE vs IN_FOUR_WHEELER_VEHICLE ?! Could they be using this from accelerometer data instead of GPS? https://github.com/guillaume-chevalier/LST
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GChevalier
8y ago
For maths and machine learning, Khan Academy and Coursera can get you somewhere.
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GChevalier
8y ago
Advertisement at it's finest: I was suggested to buy an oscilloscope on that page
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GChevalier
8y ago
Perhaps they simply used a U-Net?
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GChevalier
8y ago
I submitted it to HN too, why not! Here: https://news.ycombinator.com/item?id=18339703
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How to Grow Neat Software Architecture Out of Jupyter Notebooks
(github.com)
4 points
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GChevalier
8y ago
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0 comments
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by
GChevalier
8y ago
I recently wrote on how to build/grow clean software out of Jupyter notebooks and on pitfalls to avoid when coding like that: https://github.com/guillaume-chevalier/How-to-Grow-Neat-Soft...
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