argilium

7 ms·

1.
Show HN: Back Me Up – Find papers that back your argument(backmeup.loomlabs.au)
2 points by argilium 25d ago|0 comments
2.
AI goes where the oracle is cheap(dilpreet.co)
1 points by argilium 1mo ago|0 comments
3.
The language around language models(dilpreet.co)
2 points by argilium 2mo ago|0 comments
4.
Who's doing what with watermarking AI content?(dilpreet.co)
2 points by argilium 2mo ago|0 comments
5.
by argilium 3mo ago
I’m working on Ovio ( https://ovio.au ), a record-keeping app for Australian freelancers/sole traders/small businesses. The current version is deliberately narrow: send receipts by email/whatsapp; import bank transa
6.
by argilium 8mo ago
Building a simple iOS app that's free (ad supported) for tracking expenses/receipts. Everything out there was subscriptions and I didn't want another monthly expense to track my simple expenses ... http://loomlabs.
7.
We Hacked Companies in 30 Minutes Using a Fake VSCode Extension(medium.com)
6 points by argilium 2y ago|1 comments
8.
Eduard: Swiss-Style Relief Shading for Maps Using Machine Learning(dilpreet.co)
227 points by argilium 4y ago|74 comments
9.
Eduard: Swiss-Style Relief Shading Using Machine Learning(dilpreet.co)
2 points by argilium 4y ago|1 comments
10.
Searching for Visually Similar Artworks(ai.sensilab.monash.edu)
33 points by argilium 8y ago|2 comments
11.
Show HN: Building content-based search for finding similar looking artworks(ai.sensilab.monash.edu)
5 points by argilium 8y ago|0 comments
12.
Find Visually Similar Artworks Using Pre-Trained Neural Networks(ai.sensilab.monash.edu)
2 points by argilium 8y ago|0 comments
13.
Thinking about how we think about machines that think(ai.sensilab.monash.edu)
3 points by argilium 8y ago|0 comments
14.
Some things change, some not so much(dilpreetsingh.me)
1 points by argilium 8y ago|0 comments
15.
DeeperDrake: LSTM trained on Drake that responds when you tweet to it(twitter.com)
1 points by argilium 10y ago|0 comments
16.
DeeperDrake: LSTM trained on Drake that responds when you tweet to it(twitter.com)
2 points by argilium 10y ago|0 comments
17.
by argilium 11y ago
I never even considered logistic regression for this problem. Now that you've pointed it out, I'm going to look into. Neural networks aren't really core part of the system. As long as I can get good + quick results, I'm
18.
by argilium 11y ago
That's a good question. I'm also quite sick of all the logging apps that have their own unique formats. If there is a standard out there, I'll definitely look at integrating that for the output.
19.
by argilium 11y ago
This is part of my honours thesis for my comp-sci degree. Once i've completed that, i'll definitely look at open sourcing.
20.
by argilium 11y ago
You're right on the ball. I'm indeed using temporal features to classify, along with various other statistical ones. The repetition counting in my next aim. Once apple opens up the gyro on the Watch, I think there could be a good
21.
by argilium 11y ago
You're right that I could get just as good results with other potentially faster algorithms but those algorithms don't afford me the ability (especially decision trees) to personalise. The system is designed to be personalised. So
22.
by argilium 11y ago
That's a good question! Turkish Getup's are very complex like you say. Given my current setup and window length, it's unlikely that it'll recognise them, because one rep is very long. Maybe if I did exercise based window
23.
by argilium 11y ago
That's an interesting point. The problem here would be that video input would not provide accel+gryo motion information, which is what the network needs in order to learn. If we instead simply used video information to track exercises
24.
Recognising gym excerises in real-time using a neural network(dilpreetsingh.me)
56 points by argilium 11y ago|28 comments
25.
Recognising gym excerises in real-time using a neural network(dilpreetsingh.me)
3 points by argilium 11y ago|0 comments