Algomancer

5 lat temudiscuss

This is very well written.

I hope work diffusion models develops such that the sample efficiency is improved. There is something really satisfying about how progressive sampling works in these models.

Algomancer

5 lat temudiscuss

Will do, in hindsight that is a super obvious thing I didn't think about when trying to get this quickly out.

Algomancer

5 lat temudiscuss

I've been enjoying learning model based image enhancement, decided to wrap it up as a little service.

This works by predicting the parameters to a pixel wise polynomial over r,g,b,r * g,r * b,g * b,r^2,g^2,b^2,r * g * b.

Trying to build a habit of pushing projects live rather than just finishing a neat algorithm and letting it gather dust.

Algomancer

6 lat temudiscuss

There is a url to a demo store in the github about section.

Algomancer

6 lat temudiscuss

Genuine Question, and not meant to be snarky. Who is getting value from a post like this? Considering it is on the front page.

Algomancer

6 lat temudiscuss

I would like to second this.

Algomancer

6 lat temudiscuss

If I didn't know better, these could be my words. Extremely relatable.

I'd love an community of people fighting against this feeling, especially one that isn't filled with 'gurus'. I am not sure that can exist.

Algomancer

6 lat temudiscuss

This is great,

With personalization, can I see a preview before making a purchase?

Algomancer

6 lat temudiscuss

Brilliant potential home brew for a DND campaign.

Algomancer

6 lat temudiscuss

#0000FF has really seen a resurgence as of late, it is brilliant to see this medium executed by a master.

However, where does one go from here? Does it become old hat? I hear some Avant-garde types are beginning to explore post-blue ideas. #333333 has a romantic bleakness to it that I would love to see explored.

Algomancer

6 lat temudiscuss

Clever, you could use branches to add sessions.

Algomancer

6 lat temudiscuss

  Looking for cool problems, recently I have been doing a lot of deep learning stuff - but am just interested in hard engineering problems. 

  Location: Brisbane, Australia
  Remote:Yes 
  Willing to relocate: Maybe
  Technologies: Python (Web and Scientific), Pytorch, C++, JS/React, Linux

Designed architecture for automatic music mastering. Designed and Developed state of the art speech synthesis technology using deep learning including novel phase estimation approaches. Designed and Developed sequence generation models, worked with flow based likelihood models. Developed various real time and faster than real time audio pipelines with C, C++ and Python. Assisted in developing developer workflows for large scale machine learning training on AWS and GCP. Optimized performance of machine learning models for production by rewriting specific components in high performance C++ and weight pruning and porting models a set of sparse and quantized matrix operations for massive performance increases. Developed a real time audio engine for both Android and IOS.

I also have some experience with computer vision systems, recommendation systems and fraud detection. I have been coding since I was a kid, and can hack on most of the stack.

  Résumé/CV: On request.
  Email: [email protected]

Algomancer

Submissions

Show HN: Real Enhance – Automated Image Enhancement for Real Estate

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