bupt-ai-cz/LLVIP
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision (⭐ 801)
Reciprocal Visibility
We propose a guidance strategy to optimize real-time synthetic aperture sampling for occlusion removal with drones by pre-scanned point-cloud data. Depth information can be used to compute visibility of points on the ground for individual drone posit...
Letz Translate: Low-Resource Machine Translation for Luxembourgish
Natural language processing of Low-Resource Languages (LRL) is often challenged by the lack of data. Therefore, achieving accurate machine translation (MT) in a low-resource environment is a real problem that requires practical solutions. Research in...
Building Machine Translation Systems for the Next Thousand Languages
In this paper we share findings from our effort to build practical machine translation (MT) systems capable of translating across over one thousand languages. We describe results in three research domains: (i) Building clean, web-mined datasets for 1...
DiffCheck: a Scan-CAD Evaluation Tool for Digital Manufacturing and Assembly Pro…
In digital timber construction, scanning technologies and point cloud data are widely used due to the accessibility of affordable 3D sensors, photogrammetry, and user-friendly CAD tools. While typically not employed for accuracy checks in timber fabr...
Discovery of Pulsations from the Pulsar J0205+6449 in SNR 3C 58 with the Fermi G…
We report the discovery of gamma-ray pulsations (> 0.1 GeV) from the young radio and X-ray pulsar PSR J0205+6449 located in the Galactic supernova remnant 3C 58. Data in the gamma-ray band were acquired by the Large Area Telescope aboard the Fermi...
Two-phase approaches to optimal model-based design of experiments: how many expe…
Model-based experimental design is attracting increasing attention in chemical process engineering. Typically, an iterative procedure is pursued: an approximate model is devised, prescribed experiments are then performed and the resulting data is exp...
[OC] I simulated a $1 bet on 23,250 Solana memecoins using historical data. Afte…
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Prospects of BRICS currency dominance in international trade
During his state visit to China in April 2023, Brazilian President Lula proposed the creation of a trade currency supported by the BRICS countries. Using the United Nations Comtrade database, providing the frame of the world trade network associated...
China’s fertility rate has fallen to one, continuing a long decline that began b…
Quoting the accompanying text from the authors: >The 1970s were a decade shaped by [fears about overpopulation](https://en.wikipedia.org/wiki/The_Population_Bomb). As the world’s most populous ...
WikiGraphs: A Wikipedia Text – Knowledge Graph Paired Dataset
Points: 2 | Comments: 1 | Author: Anon84
DR-STRaNGe: End-to-End System Design for DRAM-based True Random Number Generator…
Random number generation is an important task in a wide variety of critical applications including cryptographic algorithms, scientific simulations, and industrial testing tools. True Random Number Generators (TRNGs) produce truly random data by samp...
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Wp33 pro having limited or no connectivity on mobile data. (T-Mo)
I've noticed that my WP33 Pro has been a LOT of connectivity issues. I'll be sitting on full signal but when you check the drop-down drawer, it's the bars with an !, indicating that I AM connected, bu...
ankitsingh1240/machine-learning
fake news prediction using demonetization tweets data set (⭐ 2)
antrixsh/Sentiment-Analysis-on-Demonetization
Sentiment Analysis on Demonetization by Using Apache Pig. Let's find out the views of different people on the demonetization by analysing the tweets from twitter. In Dataset twitter tweets are gathered in CSV format. (⭐ 7)
snowplow-referer-parser/referer-parser
Library for extracting marketing attribution data from referrer URLs (⭐ 378)
OnPage-Scraper/OnPage-Scraper
A Chrome extension for web scraping with visual element selection and data export. (⭐ 24)
Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Mo…
Deep learning for recommendation data is one of the most pervasive and challenging AI workload in recent times. State-of-the-art recommendation models are one of the largest models matching the likes of GPT-3 and Switch Transformer. Challenges in dee...