Timely identification of issue reports reflecting software vulnerabilities is crucial, particularly for Internet-of-Things (IoT) where analysis is slower than non-IoT systems. While Machine Learning (ML) and Large Language Models (LLMs) detect vulner...
World War Machine". "Livelock is a Top-Down Co-op Shooter Coming to Xbox One". XboxAchievements. 30 August 2016. "Perfect World Announce First Non-Free-to-Play
US AIRLINE The U.S. Airline Passenger Satisfaction Dataset describes customer related satisfactory experience levels for all U.S. based airlines in 2015. The dataset details information for each customer as it relates to age, gender, type of travel, distance t…
Customer purchasing behavior analysis plays a key role in developing insightful communication strategies between online vendors and their customers. To support the recent increase in online shopping trends, in this work, we present a customer purchas...
IEEE Computational Intelligence Society (CIS) Fraud Detection Using Machine Learning (⭐ 0)
Machine Learning Course | IEEE Computational Intelligence Society University of Jordan Student Branch Chapter (⭐ 4)
As someone who works in data analysis and enjoys following the Iditarod, I decided it would be a fun side project to build an Iditarod prediction model. I wanted to come here to share my results for t...
Aug 6, 2025 · Install Windows Subsystem for Linux with the command, wsl --install. Use a Bash terminal on your Windows machine run by your preferred Linux distribution - Ubuntu, Debian, SUSE, Kali, …
Oct 24, 2020 · My confusion came from firewall issues with WSL-2. What I have found is: Services listening on ports in WSL-2 are accesible from the host machine as localhost:<port> WSL-2 ports are …
Jul 21, 2022 · 5 Has anyone used WSL2 and connected to the host machine using its actual IP instead of through the WSL2 Network Adapter IP? My situation is this: My ip is 192.168.1.2 I start a …
Plain python implementations of basic machine learning algorithms (⭐ 4408)
Gaussian Processes (GPs) are a versatile and popular method in Bayesian Machine Learning. A common modification are Sparse Variational Gaussian Processes (SVGPs) which are well suited to deal with large datasets. While GPs allow to elegantly deal wit...
Open Source Routing Machine - C++ backend (⭐ 7528)
(1976). Granger was one of baseball's most effective and durable relief pitchers during the early years of Cincinnati's Big Red Machine. Granger graduated
Data Analyze and Machine Learning (⭐ 4)
One of the main difficulties to analyze modern spectroscopic datasets is due to the large amount of data. For example, in atmospheric transmittance spectroscopy, the solar occultation channel (SO) of the NOMAD instrument onboard the ESA ExoMars2016 s...
Test data is said to be out-of-distribution (OOD) when it unexpectedly differs from the training data, a common challenge in real-world use cases of machine learning. Although OOD generalisation has gained interest in recent years, few works have foc...
This project uses wavelet-based feature extraction, and Naive Bayes' Machine Learning model to screen arrhythmia signals from normal ECG (⭐ 5)
In this paper we present a bilevel optimization scheme for the solution of a general image deblurring problem, in which a parametric variational-like approach is encapsulated within a machine learning scheme to provide a high quality reconstructed im...
Art curatorial practice is characterized by the presentation of an art collection in a knowledgeable way. Machine processes are characterized by their capacity to manage and analyze large amounts of data. This paper envisages AI curation and audience...