arxiv.org/abs/2501.15655v2
Military personnel and security agents often face significant physical risks during conflict and engagement situations, particularly in urban operations. Ensuring the rapid and accurate communication of incidents involving injuries is crucial for the...
arxiv.org/abs/2005.14213v2
We introduce BOURBON, a log-structured merge (LSM) tree that utilizes machine learning to provide fast lookups. We base the design and implementation of BOURBON on empirically-grounded principles that we derive through careful analysis of LSM design....
github.com/dataprofessor/data
Data Sets for Machine Learning Practice (⭐ 344)
arxiv.org/abs/2303.08733v3
With the advances in machine learning, there is a growing interest in AI-enabled tools for autocompleting source code. GitHub Copilot, also referred to as the "AI Pair Programmer", has been trained on billions of lines of open source GitHub code, and...
www.reddit.com/r/microsoft/comments/1negvsh/copilot_pcs_a_marketing_scam_thus_far/
I've got an ultrabook 2-in-1 laptop with i7-1260p. I don't game. But it's basically a superb portable business laptop (LG Gram.) The machine works great even for video editing (connected to external...
arxiv.org/abs/1811.11079v1
Algorithms are increasingly common components of high-impact decision-making, and a growing body of literature on adversarial examples in laboratory settings indicates that standard machine learning models are not robust. This suggests that real-worl...
en.wikipedia.org/wiki/FTSE_250_Index
Machine London Stock Exchange: FTSE 250 Index Market Watch page for FTSE 250 FTSE 250 Index on Yahoo Finance FTSE 250 Index — on Hargreaves Lansdown
github.com/opulo-inc/lumenpnp
The LumenPnP is an open source pick and place machine. (⭐ 3260)
github.com/luwill/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms. (⭐ 1550)
github.com/ws13685555932/machine_learning_derivation
notes of machine learning algorithm derivation (⭐ 790)
arxiv.org/abs/1802.04220v3
Categorical distributions are ubiquitous in machine learning, e.g., in classification, language models, and recommendation systems. However, when the number of possible outcomes is very large, using categorical distributions becomes computationally e...
en.wikipedia.org/wiki/Computational_finance
Machine An Introduction to Computational Finance without Agonizing Pain Introduction to Computational Finance, IEEE Computational Intelligence Society Newsletter
github.com/IBM/taxinomitis
Source code for Machine Learning for Kids site (⭐ 182)
en.wikipedia.org/wiki/Jigger
a hydraulically powered mechanical winch Ice jigger, used for setting fish nets under ice between two distant holes Jigger, a machine for the shaping
github.com/alexiszamanidis/news_articles_text_mining
News Articles Text Classification and Clustering using Machine Learning in Python. Also, KNN implementation from scratch using max heap. (⭐ 5)
en.wikipedia.org/wiki/GReAT
XMI OCL QVT GReAT ref 1 Archived 2004-07-06 at the Wayback Machine GReAT ref 2 GReAT ref 3 [broken link] GReAT ref 4 [broken link] GReAT ref 5 [broken
en.wikipedia.org/wiki/Download_to_Donate_for_Haiti
Download to Donate for Haiti is a compilation album by various artists. It was released on January 19, 2010 through Machine Shop and Warner Bros. Records
arxiv.org/abs/2007.10257v1
Sports data has become widely available in the recent past. With the improvement of machine learning techniques, there have been attempts to use sports data to analyze not only the outcome of individual games but also to improve insights and strategi...
github.com/xinychen/transdim
Machine learning for transportation data imputation and prediction. (⭐ 1286)
arxiv.org/abs/2111.12755v1
LUCI is an general-purpose spectral line-fitting pipeline which natively integrates machine learning algorithms to initialize fit functions. LUCI currently uses point-estimates obtained from a convolutional neural network (CNN) to inform optimization...