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github.com/bgavran/Category_Theory_Machine_Learning

bgavran/Category_Theory_Machine_Learning

List of papers studying machine learning through the lens of category theory (⭐ 1494)

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Cloud Products | Microsoft Azure

Select a category: AI + machine learning Create the next generation of applications using artificial intelligence capabilities for any developer and any scenario.

arxiv.org/abs/1805.11852v1

ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audi…

Adversarial machine learning research has recently demonstrated the feasibility to confuse automatic speech recognition (ASR) models by introducing acoustically imperceptible perturbations to audio samples. To help researchers and practitioners gain...

arxiv.org/abs/2109.01838v3

RAMA: A Rapid Multicut Algorithm on GPU

We propose a highly parallel primal-dual algorithm for the multicut (a.k.a. correlation clustering) problem, a classical graph clustering problem widely used in machine learning and computer vision. Our algorithm consists of three steps executed recu...

arxiv.org/abs/1412.2587v1

A Coverage Criterion for Spaced Seeds and its Applications to Support Vector Mac…

Spaced seeds have been recently shown to not only detect more alignments, but also to give a more accurate measure of phylogenetic distances (Boden et al., 2013, Horwege et al., 2014, Leimeister et al., 2014), and to provide a lower misclassification...

arxiv.org/abs/1812.07669v1

Machine Learning for Molecular Dynamics on Long Timescales

Molecular Dynamics (MD) simulation is widely used to analyze the properties of molecules and materials. Most practical applications, such as comparison with experimental measurements, designing drug molecules, or optimizing materials, rely on statist...

github.com/probml/pml-book

probml/pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy (⭐ 5518)

en.wikipedia.org/wiki/Slam

Slam - Wikipedia

Look up slam in Wiktionary, the free dictionary. Slam, SLAM or SLAMS may refer to: S.L.A.M. (Strategic Long-Range Artillery Machine), a fictional weapon

arxiv.org/abs/2202.06675v2

Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting…

Large datasets underlying much of current machine learning raise serious issues concerning inappropriate content such as offensive, insulting, threatening, or might otherwise cause anxiety. This calls for increased dataset documentation, e.g., using...

github.com/dotnet/machinelearning

dotnet/machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET. (⭐ 9333)

github.com/masakhane-io/masakhane-mt

masakhane-io/masakhane-mt

Machine Translation for Africa (⭐ 312)

github.com/aeracoop/SeedCoatingMachine

aeracoop/SeedCoatingMachine

Arduino Control of de Seed Coating Machine (⭐ 3)

arxiv.org/abs/2406.01130v2

SAVA: Scalable Learning-Agnostic Data Valuation

Selecting data for training machine learning models is crucial since large, web-scraped, real datasets contain noisy artifacts that affect the quality and relevance of individual data points. These noisy artifacts will impact model performance. We fo...

arxiv.org/abs/2307.01317v2

Density-based Feasibility Learning with Normalizing Flows for Introspective Robo…

Machine Learning (ML) models in Robotic Assembly Sequence Planning (RASP) need to be introspective on the predicted solutions, i.e. whether they are feasible or not, to circumvent potential efficiency degradation. Previous works need both feasible an...

arxiv.org/abs/2308.00065v1

FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Mo…

Financial risk prediction plays a crucial role in the financial sector. Machine learning methods have been widely applied for automatically detecting potential risks and thus saving the cost of labor. However, the development in this field is lagging...

arxiv.org/abs/2508.04902v2

Learning AI Auditing: A Case Study of Teenagers Auditing a Generative AI Model

This study investigates how high school-aged youth engage in algorithm auditing to identify and understand biases in artificial intelligence and machine learning (AI/ML) tools they encounter daily. With AI/ML technologies being increasingly integrate...

en.wikipedia.org/wiki/Music_of_the_Marvel_Cinematic_Universe

Music of the Marvel Cinematic Universe - Wikipedia

Djawadi had help with arrangements and additional cues from Hans Zimmer and Remote Control Productions. Rage Against the Machine guitarist Tom Morello, who

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