Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets" (⭐ 104)
A basic machine learning model built in python jupyter notebook to classify whether a set of tweets into two categories: racist/sexist non-racist/sexist. (⭐ 7)
Archived from the original on August 5, 2020. Retrieved August 6, 2020. "Internet Archive Frequently Asked Questions". Internet Archive. Archived from
Makes generating machine-readable, digitally signed warrant canary statements simpler (⭐ 148)
this is a duplicate submission(original is arXiv:1612.02141). Hence want to withdraw it...
OCR system for Arabic language that converts images of typed text to machine-encoded text. (⭐ 321)
Despite progress in Arabic large language models, such as Jais and AceGPT, their evaluation on commonsense reasoning has largely relied on machine-translated datasets, which lack cultural depth and may introduce Anglocentric biases. Commonsense reaso...
Subject headings are very important to machine catalogs, given the importance of thematic research. This study aims to measure the quality of a group of authorized subject headings with a sample of Arabic bibliographic records on the catalog of Egypt...
Microarchitectural code analyzers, i.e., tools that estimate the throughput of machine code basic blocks, are important utensils in the tool belt of performance engineers. Recent tools like llvm-mca, uiCA, and Ithemal use a variety of techniques and...
Cooperative learning, that enables two or more data owners to jointly train a model, has been widely adopted to solve the problem of insufficient training data in machine learning. Nowadays, there is an urgent need for institutions and organizations...
Has anyone been able to trully dockerize OpenClaw? And if so how? I know there is a setup that claims to dockerize but it is only the gateway, OpenClaw still runs on your machine (in my case on windo...
...
Horse Racing prediction artificial intelligence that uses machine learning to predict the winner of the next race. (⭐ 10)
intelligence team called MENACE's algorithm "Boxes", after the apparatus used for the machine. The first stage "Boxes" operated in five phases, each setting
To fish the breaking news from Twitter stream by utilizing deep learning and machine learning approaches (⭐ 5)
We present a general computational approach that enables a machine to generate a dance for any input music. We encode intuitive, flexible heuristics for what a 'good' dance is: the structure of the dance should align with the structure of the music....
Learning continuously during all model lifetime is fundamental to deploy machine learning solutions robust to drifts in the data distribution. Advances in Continual Learning (CL) with recurrent neural networks could pave the way to a large number of...
Providing a model that achieves a strong predictive performance and is simultaneously interpretable by humans is one of the most difficult challenges in machine learning research due to the conflicting nature of these two objectives. To address this...
Gradient boosting is a machine learning technique based on boosting in a functional space, where the target is pseudo-residuals instead of residuals as
Artificial Intelligence and Machine learning have been widely used in various fields of mathematical computing, physical modeling, computational science, communication science, and stochastic analysis. Approaches based on Deep Artificial Neural Netwo...