Graduate Empirical Industrial Organization

🎨 Beautiful, animated iOS mesh gradient for React Native – built with SwiftUI + Expo magic 🧙‍♂️. Customize 🎛️ colors, speed & more. Perfect for splash screens, backgrounds, or aesthetic vibes ✨

🎨 An open source application for viewing gradients posted on https://uigradients.com

Professional portfolio

Deep Visualization Toolbox Github: https://github.com/yosinski/deep-visualization-toolbox Understanding Image Representations by Inverting Them Paper: https://arxiv.org/pdf/1412.0035v1.pdf Learning FRAME Models Using CNN filters Project page: http://www.stat.ucla.edu/~yang.lu/project/deepFrame/main.html Convergent Learning: Do different neural networks learn the same representations? Github: https://github.com/yixuanli/convergent_learning Torch-visbox https://github.com/Aysegul/torch-visbox Plot caffe models online http://ethereon.github.io/netscope/#/editor Grad-CAM: Gradient-weighted Class Activation Mapping https://github.com/ramprs/grad-cam/ Quiver: Interactive Feature Visualization for Keras https://github.com/jakebian/quiver CS231 Stanford notes on Visualization http://cs231n.github.io/understanding-cnn/

Bloxd.io hack client by grad credits to marcus

Code Coffee blog and other website thingies

Materials for PhD IO course @ Boston College

Repository for mesh gradient animation tutorial on AppBeyond YouTube channel

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IIT Madras Students Community Help You In Solving Graded Assignments Providing Best Notes , PYQ Our expertly crafted graded assignments are designed to fortify your grasp of key concepts. Through comprehensive solutions, you’ll not only understand how to approach questions effectively but also fine-tune your problem-solving skills.

Radiance Field Gradient Scaling for Unbiased Near-Camera Training

GradienceTeam Website

The available capacity of a battery, called the state of charge, is a fundamental characteristic for energy storage applications or electric vehicles. In order to model the state of charge of a lithium-ion battery using data-driven techniques, complex algorithms should be used so the dynamic behaviours of the battery are captured. An ensemble decision tree called gradient boosting tree was fitted with the information extracted from different experiments based on dynamic and constant discharge profiles at different temperatures and implemented in a laboratory. Despite the capacity and and the battery’s state of health being below its theoretical life expectancy, results of the model showed an adequate behaviour. The model’s performance was validated using previously unused data.

学校课程设计—师生交流系统

Gradle + Xcode + XCtest

Text-Styles

Evaluation management iOS app for FIT CTU

Website of the paper "Real Attackers Don't Compute Gradients": Bridging the Gap between Adversarial ML Research and Practice

Gradle + Xcode + XCtest

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Website for University of Utah Kahlert School of Computing Graduate Student Advisory Committee

GradleUp Website and projects listing

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Engineering Blog

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"Lithium-Ion Battery Life Prediction Based on Initial Stage-Cycles Using Machine Learning"-- Gradient Boosting Trees Model

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A check list for creating the documentation for the seminar Input/Output - basics of process oriented design ("Eingabe/Ausgabe. Grundlagen der prozessorientierten Gestaltung").

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