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Table of Contents Part 0: Setup Part A: Sampling Loops 1.1 Implementing the Forward Process 1.2 Classical Denoising 1.3 One-Step Denoising 1.4 Iterative Denoising 1.5 Diffusion Model Sampling 1.6 Classifier-Free Guidance (CFG) 1.7 Image-to-Image Translati…
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Interactive Qwen3 (Dense) Diagram In Fall 2025, I am taking CS 182: Deep Neural Networks, a course at UC Berkeley taught by Professors Anant Sahai and Gireeja Ranade.
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TLDR In this project, I implemented NeRFs (Neural Radiance Fields) from scratch.
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Introduction This is my third project for CS 180 (Intro to Computer Vision) at UC Berkeley.
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TLDR This is my second project for CS 180 (Intro to Computer Vision) at UC Berkeley.
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TLDR I implemented, from scratch, an image colorization algorithm that can turn this: Into this: Part 0: Background Information This Fall 2025 semester, I’m taking a computer vision class, titled CS 180, taught by Professors Alexei Efros and Angjoo Kanaza…
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In Spring 2026, I am taking CS 185, Deep Reinforcement Learning, at UC Berkeley.
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Motivation “Le président Emmanuel Macron assure le peuple canadien que le gouvernement français va continuer à défendre le Canada contre la menace américain.”
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One month ago1, I attended a speaker event at UC Berkeley about ed-tech startups.
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1) In the Beginning of Infinity, physicist and quantum computing researcher David Deutsch proposes the following experiment: find some robot that is already used in the real world and happens to be able to walk.