github.com/lamassu/lamassu-machine
lamassu/lamassu-machine
Software that controls the Lamassu Cryptomat (⭐ 103)
github.com/conanjm/Machine-Learning-CSMM102x-John-Paisley-Columbia-University-EdX
conanjm/Machine-Learning-CSMM102x-John-Paisley-Columbia-University-EdX
No description (⭐ 0)
github.com/thismlguy/COMSW4721_MachineLearning_HomeWork
thismlguy/COMSW4721_MachineLearning_HomeWork
Implementation of Machine Learning algorithms using numpy in Python. The exercise was done as part of homeworks given at Columbia's Machine Learning (COMS W4721) class conducted by Dr. John Paisley (⭐ 19)
www.bing.com/ck/a?!&&p=f3bd295af979035eb480d14c456d05e2a2916c0847c53374c89ce236fc36f8baJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=1a571159-d7a0-6a83-1fe4-064bd6846bc5&u=a1aHR0cHM6Ly9naXRodWIuY29tL2s0eXQzeC92aWRlbzJ4&ntb=1
GitHub - k4yt3x/video2x: A machine learning-based video super ...
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
arxiv.org/abs/2401.06769v4
Machine Translation Models are Zero-Shot Detectors of Translation Direction
Detecting the translation direction of parallel text has applications for machine translation training and evaluation, but also has forensic applications such as resolving plagiarism or forgery allegations. In this work, we explore an unsupervised ap...
arxiv.org/abs/2307.11457v1
Incorporating Human Translator Style into English-Turkish Literary Machine Trans…
Although machine translation systems are mostly designed to serve in the general domain, there is a growing tendency to adapt these systems to other domains like literary translation. In this paper, we focus on English-Turkish literary translation an...
arxiv.org/abs/1612.06139v1
Neural Machine Translation from Simplified Translations
Text simplification aims at reducing the lexical, grammatical and structural complexity of a text while keeping the same meaning. In the context of machine translation, we introduce the idea of simplified translations in order to boost the learning a...
idiallo.com/blog/when-a-machine-fired-me
The Machine Fired Me
Points: 1471 | Comments: 554 | Author: foxfired
www.bing.com/ck/a?!&&p=b77ce90f11ce6226e22d6555ac94fd3e7a8223baed605f1f8a9f4edf6d847f85JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=0ee4ae47-4790-6d53-13b6-b95546e56cde&u=a1aHR0cHM6Ly9naXRodWIuY29tL2s0eXQzeC92aWRlbzJ4&ntb=1
GitHub - k4yt3x/video2x: A machine learning-based video super ...
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
arxiv.org/abs/1708.09757v2
Opportunities and challenges for quantum-assisted machine learning in near-term…
With quantum computing technologies nearing the era of commercialization and quantum supremacy, machine learning (ML) appears as one of the promising "killer" applications. Despite significant effort, there has been a disconnect between most quantum...
arxiv.org/abs/1909.11313v2
Determining offshore wind installation times using machine learning and open dat…
The installation process of offshore wind turbines requires the use of expensive jack-up vessels. These vessels regularly report their position via the Automatic Identification System (AIS). This paper introduces a novel approach of applying machine...
www.bing.com/ck/a?!&&p=411c0356a1eb5b89e4d698fe99584e399a42945eba1e77605554398012237f6bJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=28c8a971-7f6d-6b36-3d62-be637e946a4c&u=a1aHR0cHM6Ly93d3cud2FsbHBhcGVyYW1hLmNvbS9mb3J1bXMvaXJzLWludGVybmFsLXJldmVudWUtc2VydmljZXMtZmF4LW51bWJlci10Njk5My5odG1s&ntb=1
Irs Internal Revenue Services Fax Number - Taxes Fax Machine
May 18, 2024 · this is the Federal Government's Internal Revenue Services (IRS) fax machine number for your taxes or your income tax return. If you need to fax a document to the IRS, this is the toll free …
arxiv.org/abs/2101.02939v2
Application of Machine Learning to Performance Assessment for a class of PID-bas…
In this paper, a novel machine learning derived control performance assessment (CPA) classification system is proposed. It is dedicated for a wide class of PID-based control industrial loops with processes exhibiting dynamical properties close to sec...
en.wikipedia.org/wiki/Finland%27s_Slot_Machine_Association
Finland's Slot Machine Association - Wikipedia
Finland's Slot Machine Association or RAY (Finnish: Raha-automaattiyhdistys) was a government-supervised and -owned nonprofit gaming (gambling) association
www.bing.com/ck/a?!&&p=009b2aa38540c3a9d0aa190266a66bc8578d311ac23564e99c89b27ad8f4a3f9JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=1393a306-7183-600f-0b7d-b41470276188&u=a1aHR0cDovL3NlYXJjaC5hcmNoaXZlLm9yZy8&ntb=1
Wayback Machine
The Wayback Machine is an initiative of the Internet Archive, a 501 (c) (3) non-profit, building a digital library of Internet sites and other cultural artifacts in digital form.
arxiv.org/abs/2103.10510v2
Hidden Technical Debts for Fair Machine Learning in Financial Services
The recent advancements in machine learning (ML) have demonstrated the potential for providing a powerful solution to build complex prediction systems in a short time. However, in highly regulated industries, such as the financial technology (Fintech...
arxiv.org/abs/1503.06384v1
Costing Generated Runtime Execution Plans for Large-Scale Machine Learning Progr…
Declarative large-scale machine learning (ML) aims at the specification of ML algorithms in a high-level language and automatic generation of hybrid runtime execution plans ranging from single node, in-memory computations to distributed computations...
github.com/https-deeplearning-ai/machine-learning-engineering-for-production-public
https-deeplearning-ai/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization (⭐ 1952)
blogs.nvidia.com/blog/2016/02/24/enrollment-in-machine-learning/
Enrollment Is Surging in Machine Learning Classes
Points: 278 | Comments: 127 | Author: Osiris30
arxiv.org/abs/1509.07479v2
Learning Concept Embeddings with Combined Human-Machine Expertise
This paper presents our work on "SNaCK," a low-dimensional concept embedding algorithm that combines human expertise with automatic machine similarity kernels. Both parts are complimentary: human insight can capture relationships that are not apparen...