Los Lunas, New Mexico - City-Data.com
According to our research of New Mexico and other state lists, there were 125 registered sex offenders living in Los Lunas, New Mexico as of February 20, 2026. The ratio of all residents to sex offenders …
Tucson, Arizona - City-Data.com
According to our research of Arizona and other state lists, there were 1,699 registered sex offenders living in Tucson, Arizona as of January 04, 2026. The ratio of all residents to sex offenders in Tucson …
Star, Idaho - City-Data.com
Star, Idaho detailed profile Mean prices in 2023: all housing units: $751,474; detached houses: $760,857; mobile homes: $537,102 Median gross rent in 2023: $1,770. December 2024 cost of living …
City-Data.com - Stats about all US cities - real estate, relocation ...
Stats about all US cities - real estate, relocation info, crime, house prices, schools, races, income, photos, sex offenders, maps, education, weather, home value ...
NotMatthewGriffin/ResearchNet
Research Network used for Data augmentation for improved Leukocoria detection (⭐ 0)
RTIInternational/researchnet
RTI’s ResearchNet is a flexible, cloud-enabled backend for Computer Assisted Self Interview (CASI) systems. This platform provides a secure mechanism for managing enrollment, processing consent, and collecting survey data. (⭐ 2)
DAT Timer and Live Earnings Tracker
Here is a quick, hacked-together timer that counts currency as well as time spent on a single project, and includes a currency converter for convenience. Simply enter your project's pay rate, select ...
A Continual and Incremental Learning Approach for TinyML On-device Training Usin…
A new algorithm for incremental learning in the context of Tiny Machine learning (TinyML) is presented, which is optimized for low-performance and energy efficient embedded devices. TinyML is an emerging field that deploys machine learning models on...
DeepCFL: Deep Contextual Features Learning from a Single Image
Recently, there is a vast interest in developing image feature learning methods that are independent of the training data, such as deep image prior, InGAN, SinGAN, and DCIL. These methods are unsupervised and are used to perform low-level vision task...
Deep learning observables in computational fluid dynamics
Many large scale problems in computational fluid dynamics such as uncertainty quantification, Bayesian inversion, data assimilation and PDE constrained optimization are considered very challenging computationally as they require a large number of exp...
Memorization in Deep Neural Networks: Does the Loss Function matter?
Deep Neural Networks, often owing to the overparameterization, are shown to be capable of exactly memorizing even randomly labelled data. Empirical studies have also shown that none of the standard regularization techniques mitigate such overfitting....
High altitude wind velocity at San Pedro Martir and Mauna Kea
We analyze the monthly average wind velocity at about 12 km above sea level, between 1980 to 1995, for San Pedro Martir, Mauna Kea, another existing observatorie and some sites of interest. We compare the results obtained from two different data se...
手把手，嘴对嘴，讲解硬盘SMART信息
SMART信息基本知识 SMART信息之所以可以最直观的反应出当前硬盘的健康状态，是因为在这些SMART Attribute Data中记录了硬盘运行时最重要的信息，比如当前的工作时间，通电次数，盘片温 …
GitHub OSS Governance File Dataset
Open-source Software (OSS) has become a valuable resource in both industry and academia over the last few decades. Despite the innovative structures they develop to support the projects, OSS projects and their communities have complex needs and face...
Convergence of online $k$-means
We prove asymptotic convergence for a general class of $k$-means algorithms performed over streaming data from a distribution: the centers asymptotically converge to the set of stationary points of the $k$-means cost function. To do so, we show that...
MAGA's Prized Cowardly Piggy Goes REE REE REE While the Economy Burns
The thing that gnaws at me, down to the last sane nerve, is the sheer spectacle of cowardice radiating from this refusal to release something as basic as GDP and jobs data. Nothing about it resembles ...
Increasing Adversarial Uncertainty to Scale Private Similarity Testing
Social media and other platforms rely on automated detection of abusive content to help combat disinformation, harassment, and abuse. One common approach is to check user content for similarity against a server-side database of problematic items. How...
A Chandra-HETG VIEW OF MCG +8-11-11
We present a spectral analysis of the 118 ks High Energy Transmission Gratings (HETG) observation of the X-ray bright Seyfert 1.5 galaxy MCG +8-11-11, in conjunction with 100 ks of archival Suzaku data, aimed at investigating the signatures of warm a...
Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Finite…
We study finite-horizon offline reinforcement learning (RL) with function approximation for both policy evaluation and policy optimization. Prior work established that statistically efficient learning is impossible for either of these problems when t...
A Turning Point for Verified Spectre Sandboxing
Spectre attacks enable an attacker to access restricted data in an application's memory. Both the academic community and industry veterans have developed several mitigations to block Spectre attacks, but to date, very few have been formally vetted; m...