# 2021 Q3

## Paper

* [Multiplying Matrices Without Multiplying](https://arxiv.org/abs/2106.10860)
* [Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy - The BMJ](https://www.bmj.com/content/374/bmj.n1872)

## Crowd Generated

### Text

* [Your World of Text](https://www.yourworldoftext.com/link) (replace link with everything else)
* [Our World of Text](https://ourworldoftext.com/link) (replace link with everything else)

### Draw

* [Rustpad](https://rustpad.io/)
* [Browserboard](https://browserboard.com/whiteboard/)

### Pixel

* [Pixelator](http://www.pixelator.co/) similar to reddit /r/place
* [Webwhiteboard](https://webwhiteboard.com/)

### MindMap

* [Padlet](https://padlet.com/dashboard)

## Graphing Software

* [OriginLab - Origin and OriginPro - Data Analysis and Graphing Software](https://www.originlab.com/)

## Qur'an

* [quran api - Micro](https://m3o.com/quran/api)
* [Quran.com API](https://quran.api-docs.io/v4/getting-started/introduction)

## Fourier Transform

* [Circles Sines and Signals - Introduction](https://jackschaedler.github.io/circles-sines-signals/)
* [myFourierEpicycles - draw your own fourier epicycles.](https://www.myfourierepicycles.com/)
* [(1) What is a Fourier Series? (Explained by drawing circles) - Smarter Every Day 205 - YouTube](https://www.youtube.com/watch?v=ds0cmAV-Yek)
* [Fourier series visualisation with d3.js. - bl.ocks.org](https://bl.ocks.org/jinroh/7524988)

## CNN

* [Finished Double-layer CNN (X ,T, and L) - Google Sheets](https://docs.google.com/spreadsheets/d/1A85gAl-erlM16VIJ3TBCzLnfbCc-qIRMeQyb7yI4zKA/edit#gid=1590029905)

## Cartoon

* [Toonify!](https://toonify.photos/)

## Article

* [Psychologists Are Learning What Religion Has Known for Years - WIRED](https://www.wired.com/story/psychologists-religion-how-god-works/)

## User Question

* [XY problem - Wikipedia](https://en.wikipedia.org/wiki/XY_problem)

## Cloud

* [Cloudharmony - Cloud testing](https://cloudharmony.com/)

## Summarization

* [Resoomer - Summarizer to make an automatic text summary online](https://resoomer.com/en/)

## Social Space

* [Hubs - Private, virtual 3D spaces in your browser](https://hubs.mozilla.com/)

## Logic

* [The most counter intuitive facts in all of mathematics, computer science, and physics - by Alexander Kruel - Axis of Ordinary](https://axisofordinary.substack.com/p/the-most-counterintuitive-facts-in)

## Awk

* [sandbox.bio](https://sandbox.bio/tutorials?id=awk-intro) Learn awk in sandbox

## CAD

* [Chokoku CAD](https://ittakun.sakura.ne.jp/chokokucad/)

## Visidata

* [An Introduction to VisiData—An Introduction to VisiData](https://jsvine.github.io/intro-to-visidata/index.html) CSV Excel

## Brain Interface Hardware

* [OpenBCI - Home](https://openbci.com/)
* [Ildaron/ironbci: Brain-Computer Interface, ADS1299 and STM32](https://github.com/Ildaron/ironbci)
* [Low-cost brain computer interface for everyday use - Request PDF](https://www.researchgate.net/publication/354935534_Low-cost_brain_computer_interface_for_everyday_use)

## Wiki

* [Engineering and Technology History Wiki](https://ethw.org/Main_Page)

## Word Cloud

* [Wordcloud Maker](https://wordart.com/)

## Research

* [AWH-GlobalPotential-X/AWH-Geo: AWH-Geo tool and calculations for Global Potential of Harvesting Drinking Water from Air using Solar Energy](https://github.com/AWH-GlobalPotential-X/AWH-Geo)

## Labeling

* [PixLab Annotate - Online Image Annotation, Labeling and Segmentation Tool](https://annotate.pixlab.io/)

## Sheet Automation

* [Rows—The spreadsheet where teams work faster](https://rows.com/)

## Eye Tracking

* [PyGaze - Open source eye-tracking software and more.](https://www.pygaze.org/)
* [Eye tracking technology - Gain insight into human behavior - Pupil Labs](https://pupil-labs.com/)

## Robot Simulation

* [MuJoCo—Advanced Physics Simulation](https://mujoco.org/)

## Mental Model

* [Ask HN: What mental models do you use everyday? - Hacker News](https://news.ycombinator.com/item?id=29297594)

## Flask and Micropython

* [The Flask Mega-Tutorial Part I: Hello, World! - miguelgrinberg.com](https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world)
* [MicroPython and the Internet of Things, Part I: Welcome - miguelgrinberg.com](https://blog.miguelgrinberg.com/post/micropython-and-the-internet-of-things-part-i-welcome)

## Windows

* [Unified Write Filter (UWF) feature (unified-write-filter) - Microsoft Docs](https://docs.microsoft.com/en-us/windows-hardware/customize/enterprise/unified-write-filter)

## In browser Game

* [Townscaper](https://oskarstalberg.com/Townscaper/)
* [Brick Block - by Oskar Stålberg](https://oskarstalberg.com/game/house/index.html)
* [three.js - pointerlock controls](https://meliharvey.github.io/threescaper/)

## Game Engine

* [PlayCanvas WebGL Game Engine](https://playcanvas.com/)
* [Create Instant Games w/ Unity - Instant Game development software for iOS, Android, and web - Unity](https://unity.com/solutions/instant-games)

## SMS Gateway

* [Simple Raspberry Pi powered SMS Gateway](https://blog.haschek.at/2021/raspberry-pi-sms-gateway.html)

## Interesting Paper

* [Human Image Synthesis From Reflected Radio Waves - Unite.AI](https://www.unite.ai/human-image-synthesis-from-reflected-radio-waves/)
* [Soundify](https://chuanenlin.com/soundify/)

## Interesting Reading

* [Language Modelling at Scale: Gopher, Ethical considerations, and Retrieval - DeepMind](https://deepmind.com/blog/article/language-modelling-at-scale)

## Computer Problem Indentification

* [Test My Screen - Easily test your screen for defects](https://www.testmyscreen.com/)

## Image Processing

* [G'MIC 3.0: A Third Dose to Process Your Images!](https://gmic.eu/gmic300/)
* [G'MICol](https://gmicol.greyc.fr/) G'Mic Online

## Code Challenge

* [code challenge - Counting Grains of Rice - Code Golf Stack Exchange](https://codegolf.stackexchange.com/questions/40831/counting-grains-of-rice)

## Data Extraction from Unstructured data

* [Stixify - Your automated threat intelligence analyst. Extract machine readable intelligence from unstructured data.](https://www.stixify.com/)

## Regularization

* [Intuitions on L1 and L2 Regularisation - AI Singapore](https://aisingapore.org/2019/04/intuitions-on-l1-and-l2-regularisation/)
* [A Better Visualization of L1 and L2 Regularization - AI Singapore](https://aisingapore.org/2020/03/a-better-visualization-of-l1-and-l2-regularization/)
* [Intuitions on L1 and L2 Regularisation - by Raimi Karim - Towards Data Science](https://towardsdatascience.com/intuitions-on-l1-and-l2-regularisation-235f2db4c261)
* [L2 vs L1 Regularization in Machine Learning - Ridge and Lasso Regularization](https://www.analyticssteps.com/blogs/l2-and-l1-regularization-machine-learning)
* [Regularization of Generalized Linear Models - mlxtend](http://rasbt.github.io/mlxtend/user_guide/general_concepts/regularization-linear/)
* [A Deep Dive into Regularization. I was recently brushing up on basics of…- by Divakar Kapil - uWaterloo Voice - Medium](https://medium.com/uwaterloo-voice/a-deep-dive-into-regularization-eec8ab648bce)
* [regression - Why L1 norm for sparse models - Cross Validated](https://stats.stackexchange.com/questions/45643/why-l1-norm-for-sparse-models)

## Optimizer

* [An overview of gradient descent optimization algorithms](https://ruder.io/optimizing-gradient-descent/)
* [Optimization Algorithms in Neural Networks - KDnuggets](https://www.kdnuggets.com/2020/12/optimization-algorithms-neural-networks.html)
* [Jaewan-Yun/optimizer-visualization: Visualize Tensorflow's optimizers.](https://github.com/Jaewan-Yun/optimizer-visualization)
* [Various Optimization Algorithms For Training Neural Network - by Sanket Doshi - Towards Data Science](https://towardsdatascience.com/optimizers-for-training-neural-network-59450d71caf6)
* [Optimizers in Deep Learning. What is an optimizer? - by Musstafa - MLearning.ai - Medium](https://medium.com/mlearning-ai/optimizers-in-deep-learning-7bf81fed78a0)
* [Which Optimizer should I use for my ML Project?](https://www.lightly.ai/post/which-optimizer-should-i-use-for-my-machine-learning-project)
* [Optimizers—ML Glossary documentation](https://ml-cheatsheet.readthedocs.io/en/latest/optimizers.html#momentum)

Huawei 60 multiple questions, 1,5 hours:

* 15 questions T/F Questiens
* 20-25 multiple-choice single answers
* multiple-choice multiple answers

## Activation Function

* [Understanding neural networks through visualization - Druva](https://www.druva.com/blog/understanding-neural-networks-through-visualization/)
* [Visualising Activation Functions in Neural Networks - dashee87.github.io](https://dashee87.github.io/deep%20learning/visualising-activation-functions-in-neural-networks/)
* [Activation function Mathematics and Visualization - Kaggle](https://www.kaggle.com/milan400/activation-function-mathematics-and-visualization)
* [Softmax Activation Function with Python](https://machinelearningmastery.com/softmax-activation-function-with-python/)
* [Visualizing the vanishing gradient problem](https://machinelearningmastery.com/visualizing-the-vanishing-gradient-problem/)

## Web

* [Interneting Is Hard - Web Development Tutorials For Complete Beginners](https://www.internetingishard.com/)

## Dynamic vs Static Graph in Deep Learning

* [Section 5 (Week 5)](https://cs230.stanford.edu/section/5/)

## Hardware

* [Mico: A PDM to USB microphone based on the Raspberry Pi RP2040 · electronut](https://electronut.in//mico/)

## Research

* [philip-huang/PIXOR: PyTorch Implementation of PIXOR](https://github.com/philip-huang/PIXOR)

## Visual

* [HowVideo.works](https://howvideo.works/)


---

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