github.com/monocasual/giada
monocasual/giada
Your Hardcore Loop Machine. (⭐ 1964)
en.wikipedia.org/wiki/Ramp_%28disambiguation%29
Ramp (disambiguation) - Wikipedia
Look up ramp in Wiktionary, the free dictionary. A ramp, or inclined plane, is a simple machine. Ramp, Ramps, RAMP, may also refer to: James J. Ramp (died
github.com/k4yt3x/video2x
k4yt3x/video2x
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. (⭐ 18965)
arxiv.org/abs/1611.05799v1
The Freiburg Groceries Dataset
With the increasing performance of machine learning techniques in the last few years, the computer vision and robotics communities have created a large number of datasets for benchmarking object recognition tasks. These datasets cover a large spectru...
arxiv.org/abs/2208.03373v1
A Computational Exploration of Emerging Methods of Variable Importance Estimatio…
Estimating the importance of variables is an essential task in modern machine learning. This help to evaluate the goodness of a feature in a given model. Several techniques for estimating the importance of variables have been developed during the las...
arxiv.org/abs/2504.18222v1
Automated Work Records for Precision Agriculture Management: A Low-Cost GNSS IoT…
Agricultural field operations are generally tracked as work records (WR), incorporating data points such as; work type, machine type, timestamped trajectories and field information. WR data which is automatically recorded by modern machinery equipped...
en.wikipedia.org/wiki/Canned_cycle
Canned cycle - Wikipedia
A canned cycle is a way of conveniently performing repetitive CNC machine operations. Canned cycles automate certain machining functions such as drilling
arxiv.org/abs/1912.11945v1
On the Morality of Artificial Intelligence
Much of the existing research on the social and ethical impact of Artificial Intelligence has been focused on defining ethical principles and guidelines surrounding Machine Learning (ML) and other Artificial Intelligence (AI) algorithms [IEEE, 2017,...
en.wikipedia.org/wiki/Curitiba
Curitiba - Wikipedia
Synagogue Archived 22 September 2009 at the Wayback Machine in addition to the Hevra Kadisha Synagogue and the Habad Synagogue mentioned in the Chabad reference
www.bing.com/ck/a?!&&p=a2e09b8d5a1e02458b863fec4915e3e49757d50ca40648905b47c6368a4633bbJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=2ca1df05-4975-62de-091d-c81448d06381&u=a1aHR0cHM6Ly93d3cubGVhZ3Vlb2ZsZWdlbmRzLmNvbS9lbi11cy9jaGFtcGlvbnMvY2FtaWxsZS8&ntb=1
Camille - League of Legends
Weaponized to operate outside the boundaries of the law, Camille is the Principal Intelligencer of Clan Ferros—an elegant and elite agent who ensures the Piltover machine and its Zaunite underbelly runs …
en.wikipedia.org/wiki/Information_warfare
Information warfare - Wikipedia
2019-08-02 at the Wayback Machine Information Warfare Monitor - Tracking Cyberpower (University of Toronto, Canada/Munk Centre) Twitter: InfowarMonitor Archived
github.com/AmirhosseinHonardoust/amirhosseinhonardoust.github.io
AmirhosseinHonardoust/amirhosseinhonardoust.github.io
Personal website and portfolio built with plain HTML and CSS. Showcases selected machine learning projects, applied data work, and short notes on evaluation, forecasting, and building practical ML systems. Hosted with GitHub Pages. (⭐ 11)
github.com/BardiaEsmaeili/Amirkabir-Artificial-Intelligence-Summer-Summit-2020
BardiaEsmaeili/Amirkabir-Artificial-Intelligence-Summer-Summit-2020
Resources for the AAISS 2020 presentation of fundamentals of Adversarial Machine Learning, its libraries, papers and code samples. (⭐ 6)
github.com/AmirhosseinHonardoust/AmirhosseinHonardoust
AmirhosseinHonardoust/AmirhosseinHonardoust
I’m Amirhosein Honardoust, a passionate developer and data scientist with experience in Python, PyTorch, deep learning, and machine learning projects across vision, NLP, and forecasting. I enjoy turning data into insights and building portfolio-ready AI applic…
www.bing.com/ck/a?!&&p=5732a7fe7a5c226422fd0d1c3ebd0678f62436a72543ee0dbf250d3567948faeJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=33c38f01-0d66-6d74-2d0f-98100cca6cee&u=a1aHR0cHM6Ly93d3cuZ29vZGhvdXNla2VlcGluZy5jb20vZm9vZC1yZWNpcGVzL2Nvb2tpbmcvYTM1OTUyMzc3L2hvdy10by1tYWtlLWVzcHJlc3NvLw&ntb=1
How to Make Espresso at Home (With or Without a Machine)
Mar 9, 2023 · Learn how to make espresso and you can enjoy iced lattes, cappuccinos and more espresso-based drinks — espresso martinis definitely included. Curious about the best way to make …
www.bing.com/ck/a?!&&p=5032268b072dc763d43754a3f830e490cff3c118c38abd8bfd65c1a6424aa4ecJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=33c38f01-0d66-6d74-2d0f-98100cca6cee&u=a1aHR0cHM6Ly93d3cudGFzdGVvZmhvbWUuY29tL2FydGljbGUvd2hhdC1pcy1lc3ByZXNzby8&ntb=1
What Is Espresso and How Does It Differ From Regular Coffee
Mar 21, 2024 · Espresso is a concentrated type of coffee made with specially roasted beans and an espresso machine. Finely ground beans are packed into a portafilter, which is then locked into the …
arxiv.org/abs/2311.00465v1
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized a…
Decentralized and asynchronous communications are two popular techniques to speedup communication complexity of distributed machine learning, by respectively removing the dependency over a central orchestrator and the need for synchronization. Yet, c...
arxiv.org/abs/2012.12155v1
Estimation of discrete choice models with hybrid stochastic adaptive batch size…
The emergence of Big Data has enabled new research perspectives in the discrete choice community. While the techniques to estimate Machine Learning models on a massive amount of data are well established, these have not yet been fully explored for th...
en.wikipedia.org/wiki/Drill_%28disambiguation%29
Drill (disambiguation) - Wikipedia
Look up drill in Wiktionary, the free dictionary. A drill is a tool or machine for cutting holes in a material. Drill may also refer to: Drill (animal)
github.com/EpistasisLab/scikit-rebate
EpistasisLab/scikit-rebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning. (⭐ 420)