Ilya-30u30/README.md

Ilya-30u30

• Ilya 30u30 arc.net folder
• Ilya 30u30 folder - archive.today

useful commands

very cool tool: arxiv-downloader — Github repo

pipx install arxiv-downloader

use an array to loop all arxiv listed URLs with pwsh

$urls = @(
    "https://arxiv.org/pdf/1511.07122.pdf",
    "https://arxiv.org/pdf/1511.07122.pdf",
    "https://arxiv.org/pdf/1704.01212.pdf",
    "https://arxiv.org/pdf/1706.03762.pdf",
    "https://arxiv.org/pdf/1409.0473.pdf",
    "https://arxiv.org/pdf/1603.05027.pdf",
    "https://arxiv.org/pdf/1706.01427.pdf",
    "https://arxiv.org/pdf/1611.02731.pdf",
    "https://arxiv.org/pdf/1806.01822.pdf",
    "https://arxiv.org/pdf/1405.6903.pdf",
    "https://arxiv.org/pdf/1410.5401.pdf",
    "https://arxiv.org/pdf/1512.02595.pdf",
    "https://arxiv.org/pdf/2001.08361.pdf",
# this one won't work because of /math, so: > curl -LJO "https://arxiv.org/pdf/math/0406077.pdf"
)

foreach ($url in $urls) {
    arxiv-downloader --url $url
}

use curl for non-arxiv papers:

$curlUrls = @(
"https://www.cs.toronto.edu/~hinton/absps/colt93.pdf",
"https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf"
)
foreach ($curlUrl in $curlUrls){
  curl -LJO $curlUrl
}

curl for books:

$curlBooks = @(
  "https://www.vetta.org/documents/Machine_Super_Intelligence.pdf"
  "https://www.lirmm.fr/~ashen/kolmbook-eng-scan.pdf"
)
foreach ($curlBook in $curlBooks) {
  curl -LJO $curlBook
}

lists

• • The Annotated Transformer — blog
• • The First Law of Complexodynamics — blog
• • The Unreasonable Effectiveness of Recurrent Neural Networks — (Andrej Karpathy blog)
• • Understanding LSTM Networks – colah’s blog — blog
• • Recurrent Neural Network Regularization — arxiv.org
• • Keeping NN Simple by Minimizing the Description Legnth of the Weights — PDF
• • Pointer Networks — arxiv.org
• • ImageNet Classification with Deep Convolutional Neural Networks — PDF
• • Order Matters: Sequence to sequence for sets — arxiv.org
• • GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism — arxiv.org
• • Deep Residual Learning for Image Recognition — arxiv.org
• • Multi-Scale Context Aggregation by Dilated Convolutions — arxiv.org
• • Neural Message Passing for Quantum Chemistry — arxiv.org
• • Attention Is All You Need — arxiv.org
• • Neural Machine Translation by Jointly Learning to Align and Translate — arxiv.org
• • Identity Mappings in Deep Residual Networks — arxiv.org
• • A simple neural network module for relational reasoning — arxiv.org
• • Variational Lossy Autoencoder — arxiv.org
• • Relational recurrent neural networks — arxiv.org
• • Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton — arxiv.org
• • Neural Turing Machines — arxiv.org
• • Deep Speech 2: End-to-End Speech Recognition in English and Mandarin — arxiv.org
• • Scaling Laws for Neural Language Models — arxiv.org
• • A tutorial introduction to the minimum description length principle — arxiv.org
• • Machine Super Intelligence by Shane Legg | BookVersion.dvi — book
• • Kolmogorov Complexity and Algorithmic Randomness | lirmm.fr — book
• • CS231n Convolutional Neural Networks for Visual Recognition — course