pbrt-v3
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
pbrt-v3 | Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | |
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17 | 30 | |
4,828 | 26,382 | |
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2.3 | 0.0 | |
8 months ago | 5 months ago | |
C++ | Jupyter Notebook | |
BSD 2-clause "Simplified" License | MIT License |
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pbrt-v3
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Ask HN: Any good books on ray tracing?
Physically Based Rendering[0] was an excellent textbook when I read it ages ago and conveniently enough it looks to have been updated with a new edition last year.
[0]: https://pbrt.org/
- Spectral Ray Tracing
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Is it possible and realistic to learn independent of an API?
Physically Based Raytracing
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C++ Project to Put On Resume
Both of these books are free, and both are written in C++, but they can be done in any language. The first book, a raytracer in a weekend, is part of a series, you can find it here: https://raytracing.github.io/ And, if you get to the third book in that series, or you need a reference book, the PBRT book covers the math in more depth and discusses the latest theory, you can get the last edition of the book (5 years out of date) for free though: https://pbrt.org/
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(Why) is a toy password manager a too complex summer project?
Making a “complete” one is a never-ending rabbit hole you can spend a lifetime on and is a very active area of research covering more advanced geometry, probability, optics, machine learning etc etc. A great introduction to that is https://pbrt.org
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Suggestions for some best books on computer vision
This isn't the highest priority but if you haven't already, learn how computer graphics works. Get a working knowledge of the camera matrix, real time graphics (say, OpenGL but threeJS is an option), and photorealistic graphics. PBRT is the go-to for photorealistic graphics. The first two books of Foundations of Game Engine Development are way more useful than they have any right to be (and my favorite textbooks I've ever read, 10/10).
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Org Mode Gripes
Org-mode strength though is in working with different languages in a same source file, which I am not sure if Knuths version does. Anyway, to see how the original idea looks like, check the Wikipedia article, or to see it in real-life see some of books that are written in the literate style, like Physically Based Rendering, which seems to be available for free nowadays or C Interfaces and Implementations.
- Ask HN: What is the coding exercise you use to explore a new language?
- Path Tracer Project
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Physically Based: A Database of PBR Values for Real-World Materials
I contributed a tiny bit to pbrt[1], and one of the things I loved was that if you just plugged in physical values you almost always got great results with minimal tweaking.
The Octane data seems most complete at first glance (with complex IOR etc), but for things like milk and blood I expected at the very least some absorption coefficient for the translucency or similar.
[1]: https://pbrt.org/
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
- Probabilistic Programming and Bayesian Methods for Hackers (2013)
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[Q] Bayesian statistics!
Also this is quite nice practical introduction which might help with finding answers to your questions: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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How many of you have used algebra, calculus, geometry, etc in your business careers/the real world?
This is a good intro to probabilistic programming.
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Suggestions for some best books on computer vision
Probabilistic programming is a nice technique to have up your sleeve.
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Bayes examples and study help
+1 for Statistical Rethinking. I’m also partial to Bayesian Methods for Hackers.
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✨ 10 Free Books for Machine Learning & Data Science 📚
🔗 https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
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Predicting the distribution of a variable rather than a point estimate
You’re welcome! I would recommend Bayesian Methods for Hackers
- Bayesian Methods for Hackers
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A collaborative book on DeFi
All content is open-source: everyone is free to read, but also to contribute to the book using github. I know of one other book that followed this open-source 'publishing' model and became quite successful eventually through community efforts. I contemplated for a bit to create a book DAO but I think it's going to be overkill :).
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[R] Analysis of Russian vaccine trial outcomes suggests they are lazily faked. Distribution of efficacies across age groups is quite improbable
Jake Vanderplas's Statistics for Hackers presentation is a perfect place to start. Bayesian Methods for Hackers is also very good.
What are some alternatives?
the_raytracer_challenge_repl - A WebAssembly (WASM) based REPL interface for my Raytracer Challenge in Rust project
dtale - Visualizer for pandas data structures
mitsuba3 - Mitsuba 3: A Retargetable Forward and Inverse Renderer
NLP-Model-for-Corpus-Similarity - A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet.
odin_rosettacode - Odin examples for Rosetta Code
JLee_LinearOptimizationBook
RiftRay - Step into the worlds of Shadertoy with an Oculus Rift.
clojure-style-guide - A community coding style guide for the Clojure programming language
tray_rust - A toy ray tracer in Rust
paip-lisp - Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
RustCrypto - Authenticated Encryption with Associated Data Algorithms: high-level encryption ciphers
Scala school - Lessons in the Fundamentals of Scala