Two_hands

7 ms·

31.
by Two_hands 1y ago
A privacy app for macOS which tells you when someone is looking at your screen. It uses the webcam and a locally running facial detection model to alert you if it detects someone in frame. It's FOSS and available @ https://w
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How I Built a Privacy macOS App Using Local ML Models(ym2132.github.io)
2 points by Two_hands 1y ago|0 comments
33.
by Two_hands 1y ago
Thanks for the feedback! And yeah I can see that, this was why the model being ran locally was a necessary for EyesOff. Also, I hope the source allows people to trust I dont send any data outside the app
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by Two_hands 1y ago
Hey, thanks for the feedback! This is on the roadmap, along with gaze detection. https://github.com/opencv/opencv_zoo/tree/main/models/face_r... This model lets you upload a reference face and then
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Show HN: EyesOff – Alerts you when someone peeps at your screen(eyesoff.app)
4 points by Two_hands 1y ago|5 comments
36.
From Scratch – The Convolutional Layer(ym2132.github.io)
2 points by Two_hands 2y ago|0 comments
37.
by Two_hands 2y ago
Alot of these devices are quite expensive. Would it be possible to purchase the LEDs and create a sort of guerrilla red light therapy device?
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The Path to StyleGan2 – Implementing the StyleGAN2(ym2132.github.io)
2 points by Two_hands 2y ago|0 comments
39.
by Two_hands 2y ago
I've been working a lot on my blog, which entails training and implementing neural networks. My next two posts are going to be about: - https://arxiv.org/pdf/1912.04958 - StyleGAN2 - https://arxiv.org&#
40.
by Two_hands 2y ago
Fwiw I didn't create that account, I didnt notice it was so new earlier. It is a bit weird though
41.
by Two_hands 2y ago
Thank you!
42.
by Two_hands 2y ago
Hey, thanks for your feedback, I'm glad you're finding it interesting! Noted I am quite new to writing like this, where exactly was it confusing? I'll definitely take this on board and try to increase the clarity in my writin
43.
by Two_hands 2y ago
Hey I have a blog site where I write about implementing different papers and doing deep dives on the papers! https://ym2132.github.io I try to go for those things you're looking for. It's hard to find good resources no
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The Path to StyleGan2 – Implementing the StyleGAN(ym2132.github.io)
9 points by Two_hands 2y ago|0 comments
45.
by Two_hands 2y ago
https://ym2132.github.io/GenerativeAdversarialNetworks_Goodf...
46.
by Two_hands 2y ago
> You're not as far behind as you might think. Thanks! > you don't even require machine learning code Interesting, I'll check it out for sure > ConvNext I certainly won't its on my papers to read list. > seek
47.
by Two_hands 2y ago
> because progress is made in small steps, This seems easily forgotten by a large number of people. I try to remind myself to step back from the hype and explore the lesser travelled paths. > I'll give some examples that are eas
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by Two_hands 2y ago
> you'll likely fall in love with these types of models Sounds like a fun rabbit hole to fall into. Thanks for the insights I wasn't aware that GANs are still so prevalent. And I haven't heard of a lot of these methods, I&
49.
by Two_hands 2y ago
> the self fulfilling prophesy of considering things dead This is quite sad, GANs are an amazing piece of tech and it doesn't seem like they are finished yet. The rule in ML is that it's never over for a method, so maybe someon
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by Two_hands 2y ago
I haven't looked into latent diffusion yet. But what are you saying the output is converted to images/audio using GANs?
51.
by Two_hands 2y ago
I didn’t know that GANs were still in use, that’s pretty cool. As a technique I think it’s quite stunning, from an ML perspective. Hence why I’ve decided to write these blog posts. The GAN just has something about which makes it riveting to
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The Path to StyleGan2 – Implementing the Progressive Growing GAN(ym2132.github.io)
58 points by Two_hands 2y ago|13 comments
53.
by Two_hands 2y ago
Thank you, I appreciate the kind comments!
54.
by Two_hands 2y ago
My thoughts had been related to the ordering, but it makes sense that it doesn’t matter. I have read that it is actually better to train the model in separate batches with generated and real images in their own batches before the gradient s
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by Two_hands 2y ago
Is it better to train without the shuffling or shuffling has negligible effects?
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by Two_hands 2y ago
It'd be cool to run some tests where you train a model with data and then supplement the training data with generated stuff.
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by Two_hands 2y ago
Thank you
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by Two_hands 2y ago
Right, even though the paper is almost 10 years old I still found it fascinating. I hope you enjoyed the post!
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by Two_hands 2y ago
I think diffusion models are useful too, I’m currently working on a project to use them to generate medical type data. It seems they'd both be useful as they are both targeted towards generation of data, especially in areas where data
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Implementing the Goodfellow GANs paper(ym2132.github.io)
104 points by Two_hands 2y ago|18 comments

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