github.com/instacart/lore
instacart/lore
Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers (⭐ 1550)
www.reddit.com/r/customyugioh/comments/1jta38f/supreme_machine_magnum_overlords_in_the_main/
Supreme Machine Magnum Overlords in the main Master Duel format | Maximum Monste…
Rush Duel Supreme Machine Magnum Overlords ported over to regular YGO, as asked by u/MemeGamerLvl69 *** Click ->[this link](https://www.reddit.com/r/customyugioh/comments/1jsa2ud/maximum_monsters...
arxiv.org/abs/1911.11746v1
Defending Against Adversarial Machine Learning
An Adversarial System to attack and an Authorship Attribution System (AAS) to defend itself against the attacks are analyzed. Defending a system against attacks from an adversarial machine learner can be done by randomly switching between models for...
arxiv.org/abs/2511.12071v1
Improving Graph Embeddings in Machine Learning Using Knowledge Completion with V…
The rise of graph-structured data has driven major advances in Graph Machine Learning (GML), where graph embeddings (GEs) map features from Knowledge Graphs (KGs) into vector spaces, enabling tasks like node classification and link prediction. Howeve...
arxiv.org/abs/1609.03376v1
Morphological Constraints for Phrase Pivot Statistical Machine Translation
The lack of parallel data for many language pairs is an important challenge to statistical machine translation (SMT). One common solution is to pivot through a third language for which there exist parallel corpora with the source and target languages...
github.com/thought-machine/please
thought-machine/please
High-performance extensible build system for reproducible multi-language builds. (⭐ 2586)
arxiv.org/abs/2311.09329v1
A Comparative Analysis of Machine Learning Models for Early Detection of Hospita…
As more and more infection-specific machine learning models are developed and planned for clinical deployment, simultaneously running predictions from different models may provide overlapping or even conflicting information. It is important to unders...
arxiv.org/abs/1912.07938v2
How Personal is Machine Learning Personalization?
Though used extensively, the concept and process of machine learning (ML) personalization have generally received little attention from academics, practitioners, and the general public. We describe the ML approach as relying on the metaphor of the pe...
arxiv.org/abs/2006.08361v3
An Unsupervised Machine Learning Approach to Assess the ZIP Code Level Impact of…
New York City has been recognized as the world's epicenter of the novel Coronavirus pandemic. To identify the key inherent factors that are highly correlated to the Increase Rate of COVID-19 new cases in NYC, we propose an unsupervised machine learni...
arxiv.org/abs/1703.08646v1
Simplifying the Bible and Wikipedia Using Statistical Machine Translation
I started this work with the hope of generating a text synthesizer (like a musical synthesizer) that can imitate certain linguistic styles. Most of the report focuses on text simplification using statistical machine translation (SMT) techniques. I ap...
en.wikipedia.org/wiki/Newman%27s_energy_machine
Newman's energy machine - Wikipedia
Newman's Energy Machine was a DC motor which the inventor, Joseph Newman, claimed to produce mechanical power exceeding the electrical power being supplied
spectrum.ieee.org/machine-learningbackdoor
Undetectable Backdoors Plantable in Any Machine-Learning Algorithm
Points: 4 | Comments: 0 | Author: RafelMri
arxiv.org/abs/2008.12099v1
Penerapan Metode SVM-Based Machine Learning Untuk Menganalisa Pengguna Data Traf…
Internet usage is an important requirement that supports the performance and activities on campus. To control internet usage, it is necessary to know the distribution of internet usage. By utilizing a number of machine learning algorithms and WEKA so...
www.bing.com/ck/a?!&&p=78f44e390151d059d2dbaee635a274fece5dc6bc77cecfe7a1ebb41e4113bb94JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=31e80dbe-81f8-6257-1e5b-1aac80146358&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
www.bing.com/ck/a?!&&p=09a147e741fd4ea4c3b319be5c576c6f1328eee62c7f3d1aee5d4fdd6bf7c8feJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=3ba594c0-5bd9-61d3-1f04-83d25ab5602b&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/1905.10677v3
An Exploratory Study on Machine Learning Model Stores
Recent advances in Artificial Intelligence, especially in Machine Learning (ML), have brought applications previously considered as science fiction (e.g., virtual personal assistants and autonomous cars) into the reach of millions of everyday users....
arxiv.org/abs/1907.12996v1
Predicting credit default probabilities using machine learning techniques in the…
This study conducts a benchmarking study, comparing 23 different statistical and machine learning methods in a credit scoring application. In order to do so, the models' performance is evaluated over four different data sets in combination with five...
arxiv.org/abs/2210.11220v1
Wait-info Policy: Balancing Source and Target at Information Level for Simultane…
Simultaneous machine translation (SiMT) outputs the translation while receiving the source inputs, and hence needs to balance the received source information and translated target information to make a reasonable decision between waiting for inputs o...
arxiv.org/abs/2001.08791v1
Machine learning based co-creative design framework
We propose a flexible, co-creative framework bringing together multiple machine learning techniques to assist human users to efficiently produce effective creative designs. We demonstrate its potential with a perfume bottle design case study, includi...
arxiv.org/abs/2011.02126v1
Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Re…
Inspired by a human speech chain mechanism, a machine speech chain framework based on deep learning was recently proposed for the semi-supervised development of automatic speech recognition (ASR) and text-to-speech synthesis TTS) systems. However, th...