Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Despite the rapid growth of machine learning research, corresponding code implementations are often unavailable, making it slow and labor-intensive for researchers to reproduce results and build upon prior work. In the meantime, recent Large Language Models (LLMs) excel at understanding scientific documents and generating high-quality code. Inspired by this, we introduce PaperCoder, a multi-agent
AIだけで新アルゴリズムによる正規表現ライブラリを作ってみた - エムスリーテックブログ
こんにちは。今回は、GeminiとClaude 4という2つのAIアシスタントだけを使って、正規表現ライブラリを一から作成した体験をお話しします。 きっかけ：古い理論への興味 驚異的な開発速度：正味数時間で完成 AIアシスタントによる開発プロセス 役割分担の自然な発生 AIによるコード生成の質 学術論文レベルの理論整備 Abstract（概要）の自動生成 先行研究との詳細比較 理論的基盤の文献調査 完成したライブラリの機能 基本機能 高度な機能 AIアシストの革新的側面 1. 理論の現代的解釈 2. 包括的なテスト設計 3. ドキュメント作成の自動化 4. 段階的な機能拡張 開発体験から見えたAIの可能性 驚いたこと 課題として見えたこと 将来への示唆 研究開発の加速 教育への応用 産業応用の可能性 まとめ We are hiring! きっかけ：古い理論への興味 事の始まりは、1964年
SparqlImplementations - W3C Wiki
This page lists some implementations of SPARQL, a query language and protocol for RDF acccess released by the W3C RDF Data Access Working Group - DAWG. SPARQL query language spec SPARQL Protocol spec SPARQL XML results spec SPARQL Implementation Survey See DawgShows for online demos and services. Client Side Gruff provides a Graphical Query View which allows creating SPARQL and Prolog queries as d
ログ解析基盤におけるストリーム処理パイプラインについて
Kubernetesでの性能解析 ～なんとなく遅いからの脱却～（Kubernetes Meetup Tokyo #33 発表資料）
What Every Computer Scientist Should Know About Floating-Point Arithmetic
What Every Computer Scientist Should Know About Floating-Point Arithmetic Note – This appendix is an edited reprint of the paper What Every Computer Scientist Should Know About Floating-Point Arithmetic, by David Goldberg, published in the March, 1991 issue of Computing Surveys. Copyright 1991, Association for Computing Machinery, Inc., reprinted by permission. Abstract Floating-point arithmetic i
dablooms - an open source, scalable, counting bloom filter library
OverviewThis project aims to demonstrate a novel bloom filter implementation that can scale, and provide not only the addition of new members, but reliable removal of existing members. Motivationbitly has billions and billions of links and an infrastructure that serves thousands of decode requests per second, i.e. redirect the user from bit.ly/short to the long.destination.url.com/with/path. Users
Big Data Counting: How to count a billion distinct objects using only 1.5KB of Memory - High Scalability -
The table shows that we can count the words with a 3% error rate using only 512 bytes of space. Compare that to a perfect count using a HashMap that requires nearly 10 megabytes of space and you can easily see why cardinality estimators are useful. In applications where accuracy is not paramount, which is true for most web scale and network counting scenarios, using a probabilistic count
Hflush11
1 Append/Hflush/Read Design Hairong Kuang, Konstantin Shvachko, Nicholas Sze, Sanjay Radia, Robert Chansler Yahoo! HDFS team 08/06/2009 1. Design challenges With hflush, HDFS needs to make the last block of an unclosed file visible to readers. This presents two challenges: 1. Read consistency. At a given time different replicas of the last block may have different number of bytes. What read consis
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hue/desktop/core/src/desktop/metrics.py at release-4.2.0 · cloudera/hue
hue/desktop/core/src/desktop/lib/metrics at master · cloudera/hue
How companies are using Spark - O'Reilly Media
Blog | Cloudera
Taking the Emmys by Storm
Mahoutにパッチを送ってみた
Using random numbers in Hadoop MapReduce is dangerous
Dealing with skewed key sizes in Cascading
Reading files quickly in Java
Parallelized bloom filter creation with Map/Reduce
What are some good MapReduce implementations for graphs, meaning a general use, highly distributed, open source graph framework, and how ...
MapReduceによる大規模データ処理 at Yahoo! JAPAN
