github.com/streamlit/streamlit
streamlit/streamlit
Streamlit — A faster way to build and share data apps. (⭐ 43783)
arxiv.org/abs/1908.09927v1
Integration of the Captive Portal paradigm with the 802.1X architecture
In a scenario where hotspot wireless networks are increasingly being used, and given the amount of sensitive information exchanged on Internet interactions, there is the need to implement security mechanisms that guarantee data confidentiality and in...
arxiv.org/abs/1906.00148v2
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data
Homomorphic Encryption (HE) is one of the most promising security solutions to emerging Machine Learning as a Service (MLaaS). Leveled-HE (LHE)-enabled Convolutional Neural Networks (LHECNNs) are proposed to implement MLaaS to avoid large bootstrappi...
arxiv.org/abs/2007.06505v2
Lyapunov exponents of the SHE for general initial data
We consider the $(1+1)$-dimensional stochastic heat equation (SHE) with multiplicative white noise and the Cole-Hopf solution of the Kardar-Parisi-Zhang (KPZ) equation. We show an exact way of computing the Lyapunov exponents of the SHE for a large c...
arxiv.org/abs/2003.02908v1
Locating Hot Plasma in Small Flares using Spectroscopic Overlappogram Data from…
One of the key processes associated with the "standard" flare model is chromospheric evaporation, a process where plasma heated to high temperatures by energy deposition at the flare footpoints is driven upwards into the corona. Despite several decad...
www.bing.com/ck/a?!&&p=c01cac1d968554fe687a3575b0f2570fbbc4862272d237ab53cafd0a0e914c19JmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=1076e992-5d7e-69ac-28e6-fe825c5f68af&u=a1aHR0cHM6Ly9iZWdpbm5lcnNib29rLmNvbS9zcWwtdHV0b3JpYWwtZm9yLWJlZ2lubmVycy13aXRoLWV4YW1wbGVzLw&ntb=1
SQL tutorial for beginners with examples - BeginnersBook
SQL tutorial for beginners with examples: SQL stands for Structured Query Language. It is used for fetching, storing and modifying the data in relational database.
arxiv.org/abs/2209.02385v2
Inferring Implicit 3D Representations from Human Figures on Pictorial Maps
In this work, we present an automated workflow to bring human figures, one of the most frequently appearing entities on pictorial maps, to the third dimension. Our workflow is based on training data and neural networks for single-view 3D reconstructi...
arxiv.org/abs/2110.11248v2
Learning to Recommend Using Non-Uniform Data
Learning user preferences for products based on their past purchases or reviews is at the cornerstone of modern recommendation engines. One complication in this learning task is that some users are more likely to purchase products or review them, and...
arxiv.org/abs/2401.01344v1
SD-WAN over MPLS: A Comprehensive Performance Analysis and Security with Insight…
Software-defined wide area network (SD-WAN) enhances network traffic management, while Multiprotocol Label Switching (MPLS) offers efficient data transmission. This paper analyzes SD-WAN over MPLS in the Housing Bank, a major Algerian financial insti...
www.reddit.com/r/technology/comments/1p0ek8a/stack_overflow_is_remaking_itself_into_an_ai_data/
Stack Overflow is remaking itself into an AI data provider
...
www.reddit.com/r/programming/comments/12th28e/stack_overflow_will_charge_ai_giants_for_training/
Stack Overflow Will Charge AI Giants for Training Data
...
github.com/LSSI-ETH/scSeq_convalescentCovid
LSSI-ETH/scSeq_convalescentCovid
Custom code for data analysis from "A single-cell atlas of lymphocyte adaptive immune repertoires and transcriptomes reveals age-related differences in convalescent COVID-19 patients" (⭐ 1)
arxiv.org/abs/2106.14667v3
Data-driven Fair Resource Allocation For Novel Emerging Epidemics: A COVID-19 Co…
Epidemics are a serious public health threat, and the resources for mitigating their effects are typically limited. Decision-makers face challenges in forecasting the supply and demand for these resources as prior information about the disease is oft...
stackoverflow.com/questions/64326774/add-new-column-replacing-string-as-value
Add new column replacing string as value
Tags: r, data-manipulation | Score: 0
arxiv.org/abs/2503.24356v1
Single-Shot Matrix-Matrix Multiplication Optical Tensor Processor for Deep Learn…
The ever-increasing data demand craves advancements in high-speed and energy-efficient computing hardware. Analog optical neural network (ONN) processors have emerged as a promising solution, offering benefits in bandwidth and energy consumption. How...
arxiv.org/abs/1812.05382v1
Probable detection of hydrogen sulphide (H$_2$S) in Neptune's atmosphere
Recent analysis of Gemini-North/NIFS H-band (1.45 - 1.8 $μ$m) observations of Uranus, recorded in 2010, with recently updated line data has revealed the spectral signature of hydrogen sulphide (H$_2$S) in Uranus's atmosphere (Irwin et al., 2018). He...
arxiv.org/abs/1812.05383v1
Analysis of gaseous ammonia (NH$_3$) absorption in the visible spectrum of Jupit…
An analysis of currently available ammonia (NH$_3$) visible-to-near-infrared gas absorption data was recently undertaken by Irwin et al. (Icarus, 302 (2018) 426) to help interpret Very Large Telescope (VLT) MUSE observations of Jupiter from 0.48 - 0....
arxiv.org/abs/astro-ph/0509726v1
Discovery of PAHs in the Halo of NGC 5907
We have used sensitive archival data from the Infrared Space Observatory (ISO) to make maps of the edge-on low SFR galaxy, NGC 5907, in 6 different MIR bands: LW2, LW5, LW6, LW7, LW8, and LW10, covering the spectrum from 6.5 to 15.0 microns and inc...
arxiv.org/abs/2308.03904v1
On genuine invariance learning without weight-tying
In this paper, we investigate properties and limitations of invariance learned by neural networks from the data compared to the genuine invariance achieved through invariant weight-tying. To do so, we adopt a group theoretical perspective and analyze...
www.bing.com/ck/a?!&&p=63efb62841e803aedda3afb7bec20e154273468f3daf2a15e1113a6c8470c4d0JmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=1308b09a-f6c4-67f2-11ca-a78af7e56674&u=a1aHR0cHM6Ly93d3cuZ2Vla3Nmb3JnZWVrcy5vcmcvZHNhL2J1YmJsZS1zb3J0LWFsZ29yaXRobS8&ntb=1
Bubble Sort - GeeksforGeeks
Dec 8, 2025 · Bubble Sort is the simplest sorting algorithm that works by repeatedly swapping the adjacent elements if they are in the wrong order. This algorithm is not efficient for large data sets as …