One-shot Delimited Continuations with Effect Handlers
Has anyone previously proposed a Algebraic Effects (e.g. Eff like handlers of continuations) for ECMAScript? #lazyweb I could only find variations that aren't quite this. I'm specifically looking at the OCaml implementation for inspiration: kcsrk.info/ocaml/multicore/2015/05/20/effects-multicore kcsrk.info/slides/multicore_fb16.pdf I'm not proposing the multicore aspect of this but just the delimi
機械学習システムアーキテクチャ入門 #1
機械学習システムのアーキテクチャを検討する上で考慮すべき課題について調査しまとめた資料です。Money Forward 社内で開かれた MLOps についての勉強会のために作成しました。 ## Reference ### 大規模なデータを扱う難しさ - Architecture Evolution in Repro https://speakerdeck.com/joker1007/architecture-evolution-in-repro - Sidekiq to Kafka ストリームベースのmicro services https://speakerdeck.com/joker1007/sidekiq-to-kafka-sutorimubesufalsemicro-services - ReproのImport/Exportを支えるサーバーレスアーキテクチャhttps://spe
The Financial Hacker – A new view on algorithmic trading
Digital River is a large eCommerce service, used by thousands of developers and software companies worldwide to distribute their software. oP group Germany, developers of the Zorro platform, also sells their licenses and subscriptions through Digital River. They have large clients, such as Adobe. The first hint that something strange was going on with Digital River was an email in July to their cl
Quantivity
Quantivity disliked undergrad macroecon, as it was largely a waste of time: fancy theory lacking compelling evidence, amplified by no consensus within the field à la saltwater versus freshwater. Few folks could be blamed for such flippancy, as it was mostly harmless throughout the great moderation. In fact, traders took apparent pride in their ignorance of macro—except the global macro guys, obvio
Understanding LSTM Networks -- colah's blog
Recurrent Neural Networks Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don’t throw everything away and start thinking from scratch again. Your thoughts have persistence. Traditional neural networks can’t do this, and it seems like a major shortcoming. For example, imagine you want to
Real World OCaml
Functional programming for the masses2nd Edition (Oct 2022) Yaron Minsky Yaron Minsky joined Jane Street in 2003, where he started out developing quantitative trading strategies, going on to found the firm's quantitative research group. He introduced OCaml to the company and managed the transition to using OCaml for all of its core infrastructure, turning Jane Street into the world's largest indus
Stanford CS 224N | Natural Language Processing with Deep Learning
Logistics Lectures: are on Tuesday/Thursday 4:30 PM - 5:50 PM Pacific Time in NVIDIA Auditorium. The lectures will also be livestreamed on Canvas via Panopto. Lecture videos for enrolled students: are posted on Canvas (requires login) shortly after each lecture ends. Unfortunately, it is not possible to make these videos viewable by non-enrolled students. Publicly available lecture videos and vers
深層強化学習アルゴリズムまとめ
はじめに 深層強化学習の分野では日進月歩で新たなアルゴリズムが提案されています. それらを学ぶ上で基礎となるアルゴリズム(というより概念に近い？)はQ学習, SARSA, 方策勾配法, Actor-Criticの4つだと思われるので, これらを軸としてまとめてみたいと思います. 以下の4点はあらかじめご了承ください. コードは書いていません. 概念のみの説明です 他のアルゴリズムの基礎となりうる重要な概念については詳しく書きました. その他については簡潔に書きました 深層学習についてはある程度理解している読者を想定しています 書いているうちに規模がどんどん大きくなってしまったので, どこかに必ず間違いや不足があります. 「この式がおかしい！」「このアルゴリズムも追加するべき！」などコメントがあればぜひお願いします 全体像 扱うアルゴリズムを相関図にしてみました(私のイメージです). まず,
245A: Problem solving strategies
245A: Problem solving strategies 21 October, 2010 in 245A - Real analysis, math.CA, math.GM, tricks | Tags: measure theory, problem solving | by Terence Tao This is going to be a somewhat experimental post. In class, I mentioned that when solving the type of homework problems encountered in a graduate real analysis course, there are really only about a dozen or so basic tricks and techniques that
よくわかる測度論とルベーグ積分。 - べっく日記
今日はとても寒く、秋らしい天気だ。一般に秋になると、「〇〇の秋」という言葉を聞くけれども、〇〇に好きな言葉を入れれば秋らしくなるので不思議である。 さて、趣味のTwitterを眺めていると、測度論がわからないというツイートを見た。私は一応測度論のTAをやっているので、今回は測度論をざっくりわかりやすくまとめることにした。測度論は解析系や統計系では必須の道具である。私は解析系の人間なので、今回はルベーグ積分の基本であるFubiniの定理や単調収束定理、ルベーグの収束定理、積分記号下での微分をゴールに解説をすることにした。 以下、この記事のメニューである。 ０．測度論の心 １．測度の定義 １-１．完全加法族 １-２．測度 １-３．測度空間 １-４．測度の性質 ２．ルベーグ積分の定義 ２-１．特性関数 ２-２．階段関数 ２-３．ルベーグ積分の定義 ２-４．リーマン積分とルベーグ積分との関係 ２-
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs. However, for many tasks, paired training data will not be available. We present an approach for learning to translate an im
Algebraic Effects for the Rest of Us — overreacted
Algebraic Effects for the Rest of UsJuly 21, 2019 Have you heard about algebraic effects? My first attempts to figure out what they are or why I should care about them were unsuccessful. I found a few pdfs but they only confused me more. (There’s something about academic pdfs that makes me sleepy.) But my colleague Sebastian kept referring to them as a mental model for some things we do inside of
Unison | A friendly, statically-typed, functional programming language from the future · Unison programming language
Distributed programming No more writing encoders and decoders at every network boundary. Say where you want computations to run and it happens 🔮 — Dependencies are deployed on the fly. Learn More Refactoring Your codebase is always live and typechecks, even in the middle of a refactoring. Unison has structured refactoring sessions, not a big misleading list of type errors. Learn More Durable stor
PBKDF2 - Wikipedia
In cryptography, PBKDF1 and PBKDF2 (Password-Based Key Derivation Function 1 and 2) are key derivation functions with a sliding computational cost, used to reduce vulnerability to brute-force attacks.[1] PBKDF2 is part of RSA Laboratories' Public-Key Cryptography Standards (PKCS) series, specifically PKCS #5 v2.0, also published as Internet Engineering Task Force's RFC 2898. It supersedes PBKDF1,
Quick Fix Engine
QuickFIX Engine implements the FIX Protocol for C++, .Net, Go and Java QuickFIX is 100% free and open source with a liberal license. About QuickFIX The Financial Information Exchange (FIX) Protocol is a message standard developed to facilitate the electronic exchange of information related to securities transactions. It is intended for use between trading partners wishing to automate communication
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GitHub - amark/gun: An open source cybersecurity protocol for syncing decentralized graph data.
