tristanc
Joined 5 years ago
Karma
161
Submissions
33
Member since
Dec 31
Recent submissions
Comment · 9 months ago
Comment · 10 months ago
This is one of the greatest news I've ever heard for the digital preservation community. Just so many projects over the years could have used resources like this. Thank you for contributing to humankind!
Comment · 1 year ago
I'll bite, the article mentions:
> To calculate the wind speed on WASP-127b, the team tracked how fast molecules in the planet's atmosphere moved using the 'Very Large Telescope' (VLT) located in the south American country of Chile.
Could you provide anymore insight into how this was achieved? Any interesting challenges associated with the measurement? What are the practical limitations of this methodology? How did you pick the planet as a target to measure?
None of these questions are necessary, I'm just genuinely curious if you could provide any insight
Comment · 1 year ago
Location: Washington D.C. and metro area
Remote: Preferred
Willing to relocate: no
Technologies: C++, Linux, Python, Rust, ML (PyTorch), 3D graphics programming (shaders, data processing, rendering, ...), Multimedia (FFMPEG, GStreamer, ...), Git, etc...
Résumé/CV: http://tristancharpentier.com/resume.pdf
Email: tristancharpentier[at]protonmail[dot]com
Hi! I'm Tristan, a recent graduate in C.S. from Sorbonne University in Paris but now based in the Washington D.C. area. Lately, I have been working on interactive 3D interfaces for music discovery with personalized recommendations using neural nets, pixel shaders for rendering weather forecasts, and real-time lidar processing and shading for augmented reality using a Kinect.
My projects are driven by intellectual curiosity, sometimes originating from conversations with my friends. I enjoy doing the research to achieve unique results. Here are some of my projects: http://tristancharpentier.com/projects.html
GitHub: https://github.com/hashFactory/
Youtube: https://youtube.com/@tridostudio
Comment · 2 years ago
Location: Washington D.C. and metro area
Remote: Preferred
Willing to relocate: yes
Technologies: C++, Linux, Python, 3D graphics programming (shaders, data processing, rendering, …), Multimedia (FFMPEG, GStreamer, ...)
Résumé/CV: tristancharpentier.com/resume.pdf
Email: tristancharpentier[at]protonmail[dot]com
Hi! I'm Tristan, a Recent graduate in C.S. from Sorbonne University in Paris but based in the Washington D.C. area. Lately, I have been working on interactive 3D interfaces for music discovery with personalized recommendations using neural nets, pixel shaders for rendering weather forecasts, and real-time lidar processing and shading for augmented reality with a Kinect.
My projects are driven by intellectual curiosity, sometimes originating from conversations with my friends. I enjoy doing the research to achieve unique results. Here are some of my projects: https://tristancharpentier.com/projects.html and my github: https://github.com/hashFactory/
Comment · 2 years ago
Hi atdrummond!
I'm sorry I missed your earlier thread I had no idea you were doing and was a little stumped but I think you are an amazing person for doing this.
I'm writing because I think I could use your help!
I'm a recent graduate from University in France (Sorbonne University) with a degree in CS. I recently moved back to the states to my parent's house to look for a job but it's been difficult to get an offer.
I'm passionate about CS and have been working on personal projects while waiting to land an interview. Most recently I've been working on projects like creating novel interfaces for exploring music by analyzing audio with a neural net and plotting in 3D according to genre classification.
(demos from my project here: https://www.youtube.com/watch?v=1UyjFeLjGJs&list=PLvzGE7O7Di... )
I've been having a great time developing this and my friends are all encouraging but it's been difficult to convince a company to hire me or a way to monetize this.
Furthermore, I only have access to an old family computer from 2013 so have been limited to doing audio processing and hosting on cpu.
I would be eternally grateful and appreciative if you would do me the favor of helping finance a PC with reasonable specs such as a GPU and proper storage capacity (stuck on a 512GB SSD right now...) to help me develop my projects further!
I would only ask for ~$800 and I could finance the rest but this would be a huge huge huge help!
I still can't believe someone would be so generous as you but I know HN is full of thoughtful people so I'd love to discuss!
I'm not sure which transfer method is best yet but I have a bank account in the US and paypal so I'm sure we could make something work.
Thank you so much!!!! My name is Tristan btw (: I am located in virginia and my email is [email protected]
Comment · 2 years ago
Use any model trained on the AudioSet dataset. There is one called EfficientAT i think that I use regularly and is pretty reliable
Comment · 3 years ago
AFAIK, there is only support for AV1 decoding in the latest Snapdragon 8 Gen 2 and Apple's A17 Pro. No mobile SoC supports AV1 encoding (so far).
Comment · 3 years ago
Location: Washington D.C. and metro area
Remote: yes or on-site
Technologies: C++, Linux, Python, 3D graphics programming (shaders, data processing, rendering, …), Multimedia (FFMPEG, GStreamer, ...)
Résumé/CV: https://tristancharpentier.com/resume.pdf
Email: tristan_charpentier[at]hotmail[dot]com
Recently I have been working on interactive 3D interfaces for music discovery with personalized recommendations using neural nets, pixel shaders for rendering weather forecasts, and real-time lidar processing and shading for augmented reality with a Kinect.
My projects are driven by intellectual curiosity, sometimes originating from conversations with my friends. I enjoy doing the research to achieve unique results. Here are some of my projects: https://tristancharpentier.com/projects.html
Comment · 3 years ago
Woah, is this suggesting that the cumulative human-years experienced by current living US population will add up to the age of the entire universe?
Mind-boggled again!
Comment · 3 years ago
Interesting, I attempted to do the same as you but stopped just shy of BPM matching.
However I did get sound similarity working using an audio tagging neural net [1]. I chopped off the first and last 15 seconds of every song in my collection and ran them all through this analysis which produces a ~520 dimensional vector. I then targeted specific endings I wanted to match and used Euclidian distance to find the closest matching song beginning.
YMMV but I thought it actually worked pretty well, I just never got to automating the BPM matching. I can try to look for my old script if you're interested :)
Comment · 3 years ago
In a similar situation as you, I’ve been having lots of luck using phind.com . They advertise as “the AI search engine built for developers” and its interface is a blend of google and chatgpt. You can also paste in long snippets of code or provide specific URLs you want it to use as a part of its answer. It then generates a few possible solutions with references.
For me it’s consistently been much more helpful than google.
Comment · 4 years ago
An entire thread about apple rankings and no mention of Adam’s apples?
Comment · 4 years ago
I’ve been having tons of fun messing around using the depth sensor data from a Kinect for Xbox to create procedural visuals.
It’s been growing and growing to the point of now having 4 or 5 different input methods and accidentally discovering new emergent effects based on different combinations of parameters.
Also threw in intel’s 3D rendering engine Embree because why not.
Anyways, this playlist documents the progress in chronological order...
https://youtube.com/playlist?list=PLvzGE7O7DizdvCEOrwaVNcY_o...
https://github.com/anthropics/claude-code/blob/main/CHANGELO...
> Fixed a regression where the context window blocking limit was calculated too aggressively, blocking users at ~65% context usage instead of the intended ~98%