@thor What is it? And what kind of marketing did you use?

@trinsec yeah I'll game with it. Not sure what yet though, probably CS:GO. It'll probably be mostly a machine learning computer though. A training epoch that would have taken 15 seconds is taking less than a second now!

@trinsec yeah only had onboard GPUs before. I'm extremely cheap and typically use really old hardware (I went through most of university using an arm-based chromebook with debian on it), but old hardware has really restricted me with machine learning stuff. This is the first CUDA-capable GPU I've had.

Got a new toy today, a Geforce 1050Ti. First real graphics card ever. I'm excited to see what it can do!

This is actually pretty fun. Portal voices are pretty solid. The timbre of Twilight Sparkle is dead on - really surprised me. Wasn't able to change denoise setting though: might have helped with some of the muddiness in a few of the voices.

Also here's the source if anyone's interested. It was made in just a few minutes and is about as bare-bones as it gets.


Show thread

Does anyone know how to get a complied python binary to run properly on Windows? I made a youtube-dl GUI application and compiled it using pyinstaller, but it keeps getting flagged by Windows Defender.

For machine learning analysis of sound, I've found nothing that beats a spectrogram.
While making this post, I wondered, can you make audio from a spectrogram? The answer is, apparently you can. stackoverflow.com/questions/57

@freemo software engineer? That puffs up my chest, I'm only a Sysadmin. Though I probably should be doing software stuff. Thanks!

@Pat amazing! I'd seen it years ago, but that was well before I knew much about how a neural net worked. I'm gonna have to make a crappy clone of that one day

I've only been playing with deep learning stuff for a few months now, and it's kind of mind-blowing how fundamentally simple it is to understand with fastai.
All deep learning is this: you give the software inputs and desired outputs, and the computer creates a function that converts the input as close to the desired output as possible.
Once this is understood, most of the difficulties and bottlenecks make intuitive sense.

@r2qo @freemo I'm not an experienced AI practitioner and I don't do that, but object oriented programming(what you're talking about) allows for easier abstraction of concepts and processes, making work at a large scale easier. It may not matter when you make a script or are just playing around, but when you work with other people in one codebase, it can help a lot(from what I understand. I have no experience with it yet).

@Wetrix it's the result of a machine learning app I'm working on. I trained a U-Net(a machine learning model) to tilt eyebrows up, then I ran a picture of me through it 20 times. What you see is what happened when I did that.

I'm working on creating a GAN so I can get photorealistic results, but it isn't working yet.

I'm playing with U-Nets. You get some pretty interesting results when you pass an image into a model multiple times.

I have noticed since watching apache logs on my blog that the emails of Pleroma users are visible. Is that how it should be? Seems like it's a security leak.
Are mastodon emails de facto public too?

Here is a recent project I worked on. I used fast.ai to train a machine learning model to detect audio clips that contain the sound of typing. lhackworth.com/2020/12/18/typi

Time for my ! I'm not new to this instance, but I'm new to this account. I'm a systems administrator at an MSP in Missouri. I've used various distros of Linux for over 12 years and have an interest in and .
I look forward to getting to know you all!

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