fwilliams

5 ms·

1.
by fwilliams 8mo ago
Personal website: https://fwilliams.info I also own https://stonks.money and am looking for good ideas for what to do with it
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FVDB: Large scale GPU reality capture from Nvidia(fvdb.ai)
6 points by fwilliams 11mo ago|0 comments
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FVDB – A Deep Learning Framework for Large-Scale Spatial Intelligence(twitter.com)
2 points by fwilliams 2y ago|0 comments
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by fwilliams 2y ago
Ha! I had a side project during my PhD to build a segmenting and straightening program for this project! Source code is here: https://github.com/fwilliams/unwind Paper is here: https://arxiv.org/abs&#x2
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Neural Kernels: Reconstruct large scale digital twins with deep learning(twitter.com)
7 points by fwilliams 3y ago|2 comments
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Numbeo Crowd Sourced Cost of Living Index 2023(numbeo.com)
1 points by fwilliams 4y ago|0 comments
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Show HN: Point Cloud Utils – A Python library for 3D point clouds and meshes(fwilliams.info)
4 points by fwilliams 4y ago|0 comments
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by fwilliams 4y ago
I have personally gotten a lot of mileage from just writing the compute heavy parts of my code in C++ and exposing it to Python with a tool like PyBind11 [1] or NumpyEigen [2]. I find tools like numba and cython to be more trouble than they
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by fwilliams 4y ago
It’s crazy seeing this on the front page of HN! I grew up in Stanstead. I have fond memories of story time as a child in the library, borrowing movies and comic books, and playing age of empires 2 with my best friend on the two shared compu
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Lion: Latent Point Diffusion Models for 3D Shape Generation(nv-tlabs.github.io)
3 points by fwilliams 4y ago|0 comments
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by fwilliams 4y ago
Tried this on chrome and it's pretty awesome! Unfortunately it doesn't work on Firefox on Ubuntu 20.04 with an NVIDIA GTX 3090Ti. :(
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by fwilliams 4y ago
Then who is "they" in this situation? You need a citation!
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by fwilliams 4y ago
If you look at the plagiarized language in the article, it seems as if the BM paper authors are claiming contributions (emphasis mine). Credit is a major currency in research, and it's important to give it where it is due. If someone d
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by fwilliams 4y ago
To quote the article: > But even putting aside the fact that claiming someone else's writing as one's own is wrong, the value in survey papers is in how they re-frame the field. A survey paper that just copies directly from the
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by fwilliams 5y ago
I want to echo the other comments here that low expense ratio (<0.25%) funds from Vanguard, Fidelity, Schwab, etc... are all great stable investments. My time horizon is longer than 5 years, and I buy broad market index funds split up as
16.
by fwilliams 5y ago
I was a software engineer briefly before starting grad school. During that time, I found I didn't have the time to sit down and learn about topics that interested me. I also wanted to be in research-y roles where I could build things t
17.
by fwilliams 6y ago
It’s not the site you’re looking for, but I found https://poolside.fm recently and it’s become one of those quirky corners of the internet that I have come to enjoy. I definitely miss the days of discovering weird specialty site
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Google’s tenth messaging service will “unify” Gmail, Drive, Hangouts Chat(arstechnica.com)
2 points by fwilliams 7y ago|0 comments
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by fwilliams 7y ago
No mention of conda for environment management? In my experience, conda is by far the best tool for this. Especially when using packages which have non python dependencies.
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by fwilliams 8y ago
It's worth noting that the primary result of this paper has only to do with the error on the training data under empirical risk minimization. Zero training error =/= a model that generalizes. For any optimization problem, you ca
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LibIGL: A simple, easy to use geometry-processing library(libigl.github.io)
2 points by fwilliams 8y ago|0 comments
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by fwilliams 8y ago
Link (from the article) to the paper with details: https://www.ilyaraz.org/static/papers/spectral_gap.pdf
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by fwilliams 8y ago
Okay so I went and read the paper. They discuss generative modeling in section 5 and in the appendix (section 7.2). Section 5 claims "the corresponding CoordConv GAN model generates objects that better cover the 2D Cartesian space whil
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by fwilliams 8y ago
I haven't read the paper so I can't comment on the success of the method, but most applied ML research will show their best results in the publication and leave out failure cases. These images look impressive, but without doing a
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by fwilliams 8y ago
Somewhat tangentially, some recent work showed that a lot of problems with images (e.g. denoising, upsampling, inpainting, etc...) can be solved very efficiently with no training set at all: https://dmitryulyanov.github.io/d
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by fwilliams 8y ago
You could build a peer-tube compatible YouTube-like website. With control over the server, you could collect user data and probably stream ads over peer-tube. So there is possibly a profit incentive to hosting content.
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Zero Carbon-Emissions Natural Gas Power(vox.com)
1 points by fwilliams 8y ago|0 comments
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by fwilliams 8y ago
I took the author of this book's course during my undergrad and quite enjoyed it. It's a good theoretical introduction to machine learning principles. The video lectures are available here: https://youtu.be/b5NlRg8
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by fwilliams 8y ago
Most researchers in my field make all their publications freely available online after they have been submitted. In machine learning and computer vision, the default is to put your work on ArXiv immediately upon completion. There is a lot o
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by fwilliams 8y ago
This is hardly a discussion of previous work. The author of the video states the paper he implemented. In any semi-decent peer reviewed venue, you would cite a wide variety of papers that solve a similar or related problem or introduce a c

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