www.bing.com/ck/a?!&&p=82998eec61dbc6bdfa53e89d6f88062ee07c6c84866f4df419c985936f503a71JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=30da523c-dc62-625d-2023-452dddfc633b&u=a1aHR0cHM6Ly93d3cuY2FzZWNlLmNvbS9lbi11cy9ub3J0aGFtZXJpY2EvcHJvZHVjdHMvZXhjYXZhdG9ycy9taW5pLWV4Y2F2YXRvcnMvY3g1MGQ&ntb=1
The new CASE CX50D mini excavator is the premier zero tailswing machine in its size class. So, hop in and sit down. See how the profit potential feels.
arxiv.org/abs/1807.04888v1
Biometric measurements captured from medical devices, such as blood pressure gauges, glucose monitors, and weighing scales, are essential to tracking a patient's health. Trends in these measurements can accurately track diabetes, cardiovascular issue...
arxiv.org/abs/2102.02830v1
Automated searches for strong gravitational lensing in optical imaging survey datasets often employ machine learning and deep learning approaches. These techniques require more example systems to train the algorithms than have presently been discover...
github.com/ML-course/master
A machine learning course using Python, Jupyter Notebooks, and OpenML (⭐ 899)
en.wikipedia.org/wiki/Glock_switch
A Glock switch is a small device that can be attached to the rear of the slide of a Glock handgun, changing the semi-automatic pistol into a machine pistol
arxiv.org/abs/2508.09555v1
Objective - This study presents a biometric identification method based on topological invariants from 2D iris images, representing iris texture via formally defined digital homology and evaluating classification performance. Methods - Each normali...
arxiv.org/abs/2307.14758v1
There is a growing awareness of the harmful effects of distribution shift on the performance of deployed machine learning models. Consequently, there is a growing interest in detecting these shifts before associated costs have time to accumulate. How...
www.bing.com/ck/a?!&&p=4078fa37bc3465cda74cf944da4bca87bf3144120231d396900d609d9cb96986JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=1328da38-8bea-6ba5-3451-cd298a2f6ac4&u=a1aHR0cHM6Ly93d3cuYWR2cmlkZXIuY29tL2Jtdy1mNDUwLWdzLWFsbW9zdC1yZWFkeS1mb3ItcHJvZHVjdGlvbi8&ntb=1
Nov 5, 2024 · The BMW F450 GS isn’t quite ready for production, but it doesn’t seem to be that far off, either. BMW’s press release on the new machine gives lots of information, but it’s still low on …
github.com/luispedro/milk
MILK: Machine Learning Toolkit (⭐ 603)
github.com/riscv-boom/riscv-boom
SonicBOOM: The Berkeley Out-of-Order Machine (⭐ 2089)
en.wikipedia.org/wiki/List_of_Back_to_the_Future_video_games
Retrieved 1 September 2023. "Rocket League is Getting the DeLorean Time Machine". 12 October 2015. "Rocket League is getting Back to the Future's DeLorean
arxiv.org/abs/2411.10337v1
In machine learning (ML), the inference phase is the process of applying pre-trained models to new, unseen data with the objective of making predictions. During the inference phase, end-users interact with ML services to gain insights, recommendation...
github.com/tobegit3hub/simple_tensorflow_serving
Generic and easy-to-use serving service for machine learning models (⭐ 758)
github.com/PaddlePaddle/Serving
A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架） (⭐ 924)
github.com/tensorflow/serving
A flexible, high-performance serving system for machine learning models (⭐ 6350)
github.com/odhyan/slot
Slot machine in javascript (⭐ 169)
github.com/josex2r/jQuery-SlotMachine
Makes Slot Machine effect without jquery (the name is just legacy O_O) (⭐ 617)
en.wikipedia.org/wiki/Slot_machine
State of Nevada, which legalised gaming including slots several decades before N.S.W., had 190,135 slots operating. Revenue from gaming machines in pubs
arxiv.org/abs/1705.03921v1
The Intel Collaborative Research Institute for Computational Intelligence (ICRI-CI) has been heavily supporting Machine Learning and Deep Learning research from its foundation in 2012. We have asked six leading ICRI-CI Deep Learning researchers to ad...
arxiv.org/abs/2011.08010v1
To address the mounting destruction caused by floods in climate-vulnerable regions, we propose Street to Cloud, a machine learning pipeline for incorporating crowdsourced ground truth data into the segmentation of satellite imagery of floods. We prop...
