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
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ã“ã‚“ã«ã¡ã¯ã€‚今回ã¯ã€Geminiã¨Claude 4ã¨ã„ã†2ã¤ã®AIアシスタントã ã‘を使ã£ã¦ã€æ£è¦è¡¨ç¾ãƒ©ã‚¤ãƒ–ラリを一ã‹ã‚‰ä½œæˆã—ãŸä½“験をãŠè©±ã—ã—ã¾ã™ã€‚ ãã£ã‹ã‘：å¤ã„ç†è«–ã¸ã®èˆˆå‘³ é©šç•°çš„ãªé–‹ç™ºé€Ÿåº¦ï¼šæ£å‘³æ•°æ™‚é–“ã§å®Œæˆ AIアシスタントã«ã‚ˆã‚‹é–‹ç™ºãƒ—ãƒã‚»ã‚¹ 役割分担ã®è‡ªç„¶ãªç™ºç”Ÿ AIã«ã‚ˆã‚‹ã‚³ãƒ¼ãƒ‰ç”Ÿæˆã®è³ª å¦è¡“論文レベルã®ç†è«–æ•´å‚™ Abstract（概è¦ï¼‰ã®è‡ªå‹•ç”Ÿæˆ å…ˆè¡Œç ”ç©¶ã¨ã®è©³ç´°æ¯”較 ç†è«–的基盤ã®æ–‡çŒ®èª¿æŸ» 完æˆã—ãŸãƒ©ã‚¤ãƒ–ラリã®æ©Ÿèƒ½ 基本機能 高度ãªæ©Ÿèƒ½ AIアシストã®é©æ–°çš„å´é¢ 1. ç†è«–ã®ç¾ä»£çš„解釈 2. 包括的ãªãƒ†ã‚¹ãƒˆè¨è¨ˆ 3. ドã‚ュメント作æˆã®è‡ªå‹•åŒ– 4. 段階的ãªæ©Ÿèƒ½æ‹¡å¼µ 開発体験ã‹ã‚‰è¦‹ãˆãŸAIã®å¯èƒ½æ€§ é©šã„ãŸã“㨠課題ã¨ã—ã¦è¦‹ãˆãŸã“㨠将æ¥ã¸ã®ç¤ºå”† ç ”ç©¶é–‹ç™ºã®åŠ 速 教育ã¸ã®å¿œç”¨ 産æ¥å¿œç”¨ã®å¯èƒ½æ€§ ã¾ã¨ã‚ We are hiring! ãã£ã‹ã‘：å¤ã„ç†è«–ã¸ã®èˆˆå‘³ 事ã®å§‹ã¾ã‚Šã¯ã€1964å¹´
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
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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
Latest Insights on Data and AI | Cloudera Blog
Taking the Emmys by Storm
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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 ...
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