Here is the tentative schedule of lectures and due dates. The lecture notes and paper questions for future dates are copies from previous years, and may change.
6.824 Schedule: Spring 2020
Here is the tentative schedule of lectures and due dates. The lecture notes and paper questions for future dates are copies from previous years, and may change.
Pickle Scanning
Pickle Scanning Pickle is a widely used serialization format in ML. Most notably, it is the default format for PyTorch model weights. There are dangerous arbitrary code execution attacks that can be perpetrated when you load a pickle file. We suggest loading models from users and organizations you trust, relying on signed commits, and/or loading models from TF or Jax formats with the from_tf=True
Comparing Floating Point Numbers, 2012 Edition
Forecast for randomascii: programming, tech topics, with a chance of unicycling This post is a more carefully thought out and peer reviewed version of a floating-point comparison article I wrote many years ago. This one gives solid advice and some surprising observations about the tricky subject of comparing floating-point numbers. A compilable source file with license is available. We’ve finally
The Floating-Point Guide - Comparison
Due to rounding errors, most floating-point numbers end up being slightly imprecise. As long as this imprecision stays small, it can usually be ignored. However, it also means that numbers expected to be equal (e.g. when calculating the same result through different correct methods) often differ slightly, and a simple equality test fails. For example: float a = 0.15 + 0.15 float b = 0.1 + 0.2 if(a
DreamBooth
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Nataniel Ruiz Yuanzhen Li Varun Jampani Yael Pritch Michael Rubinstein Kfir Aberman Google Research It’s like a photo booth, but once the subject is captured, it can be synthesized wherever your dreams take you… [Paper] (new!) [Dataset] [BibTeX] Abstract Large text-to-image models achieved a remarkable leap in the
Zig
This page collects my writing about the 🦎 Zig programming language. Compiler Internals An introduction to the internals of the Zig compiler. The articles currently cover an introduction of most of the compiler "frontend" -- the process from source code to just prior to machine code generation. Note: These are the internals for the self-hosted compiler, also known as the "stage2" compiler. At the
Rob Pike: Notes on Programming in C
Rob Pike February 21, 1989 Introduction Kernighan and Plauger's The Elements of Programming Style was an important and rightly influential book. But sometimes I feel its concise rules were taken as a cookbook approach to good style instead of the succinct expression of a philosophy they were meant to be. If the book claims that variable names should be chosen meaningfully, doesn't it then follow
Game Performance: Data-Oriented Programming
Posted by Shanee Nishry, Game Developer Advocate To improve game performance, we’d like to highlight a programming paradigm that will help you maximize your CPU potential, make your game more efficient, and code smarter. Before we get into detail of data-oriented programming, let’s explain the problems it solves and common pitfalls for programmers. Memory The first thing a programmer must understa
Main Linux problems on the desktop, 2023 edition or why Linux sucks on the desktop
Preface: In this regularly but rarely updated article, which is without doubt the most comprehensive list of Linux distributions' problems on the entire Internet, we only discuss their main problems and shortcomings (which may be the reason why some people say Linux distros are not ready for the desktop) while everyone should keep in mind that there are areas where Linux has excelled other OSes: e
What are Diffusion Models?
Date: July 11, 2021 | Estimated Reading Time: 32 min | Author: Lilian Weng [Updated on 2021-09-19: Highly recommend this blog post on score-based generative modeling by Yang Song (author of several key papers in the references)]. [Updated on 2022-08-27: Added classifier-free guidance, GLIDE, unCLIP and Imagen. [Updated on 2022-08-31: Added latent diffusion model. [Updated on 2024-04-13: Added prog
京都大学大学院医学研究科 聴講コース 臨床研究者のための生物統計学「仮説検定とP値の誤解」佐藤 俊哉 医学研究科教授
京都大学大学院 医学研究科社会健康医学系専攻 AMED生物統計家育成支援事業 聴講コース 臨床研究者のための生物統計学 https://ocw.kyoto-u.ac.jp/course/328/ 「仮説検定とP値の誤解」 佐藤 俊哉 医学研究科 教授 2017年10月19日 00:00 検定とP値のさまざまな誤解 13:43 American Statistical Association 28:32 検定の復習 40:23 誤解しない、されないためには？
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GitHub - nocodb/nocodb: 🔥 🔥 🔥 Open Source Airtable Alternative
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CTFtime.org / Balsn CTF 2019 / pyshv1 / Writeup
Perryn Fowler's Weblog
EPSILON is a bad error margin and should not be recommended [float_cmp] · Issue #6816 · rust-lang/rust-clippy
Pattern Recognition and Machine Learning - Microsoft Research
The recent rise of diffusion-based models
Tutorial on Denoising Diffusion-based Generative Modeling: Foundations and Applications
DeepETA: How Uber Predicts Arrival Times Using Deep Learning