github.com/aqlaboratory/proteinnet
aqlaboratory/proteinnet
Standardized data set for machine learning of protein structure (⭐ 909)
arxiv.org/abs/2311.13349v3
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints
Deep learning models deployed on edge devices frequently encounter resource variability, which arises from fluctuating energy levels, timing constraints, or prioritization of other critical tasks within the system. State-of-the-art machine learning p...
arxiv.org/abs/2602.09278v1
The effect of whitening on explanation performance
Explainable Artificial Intelligence (XAI) aims to provide transparent insights into machine learning models, yet the reliability of many feature attribution methods remains a critical challenge. Prior research (Haufe et al., 2014; Wilming et al., 202...
github.com/WillKoehrsen/feature-selector
WillKoehrsen/feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets (⭐ 2239)
stackoverflow.com/questions/50274208/attribute-reduction-vs-dimensional-reduction
Attribute Reduction Vs Dimensional Reduction
Tags: machine-learning, dimensionality-reduction | Score: 1
arxiv.org/abs/1801.09390v2
Nonlinear Dimensionality Reduction on Graphs
In this era of data deluge, many signal processing and machine learning tasks are faced with high-dimensional datasets, including images, videos, as well as time series generated from social, commercial and brain network interactions. Their efficient...
stackoverflow.com/questions/41455101/what-is-the-meaning-of-the-word-logits-in-tensorflow
What is the meaning of the word logits in TensorFlow?
Tags: tensorflow, machine-learning, neural-network, deep-learning, cross-entropy | Score: 467
www.reddit.com/r/WaterTreatment/comments/1p9swnb/countertop_systems/
Countertop Systems?
My wife and I are looking for a convent RO system and are considering a countertop model like the Waterdrop CoreRO. We have well water and I am concerned about sodium in the water. This machine has ...
arxiv.org/abs/2504.18807v1
Clones in the Machine: A Feminist Critique of Agency in Digital Cloning
This paper critiques digital cloning in academic research, highlighting how it exemplifies AI solutionism. Digital clones, which replicate user data to simulate behavior, are often seen as scalable tools for behavioral insights. However, this framing...
arxiv.org/abs/1505.06845v1
Kinematic Analysis and Trajectory Planning of the Orthoglide 5-axis
The subject of this paper is about the kinematic analysis and the trajectory planning of the Orthoglide 5-axis. The Orthoglide 5-axis a five degrees of freedom parallel kinematic machine developed at IRCCyN and is made up of a hybrid architecture, na...
www.bing.com/ck/a?!&&p=d1914bd6f1c63849f73257299d2b5bc508e506da55dfde99627eff05de392b82JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=32975c82-e8ef-6d33-3888-4b90e9876ce9&u=a1aHR0cHM6Ly9zdGF0cy5zdGFja2V4Y2hhbmdlLmNvbS8&ntb=1
Cross Validated
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
github.com/aeon-toolkit/aeon
Aeon: A unified framework for machine learning with time series
Points: 121 | Comments: 23 | Author: megalodon
arxiv.org/abs/2406.14231v1
aeon: a Python toolkit for learning from time series
aeon is a unified Python 3 library for all machine learning tasks involving time series. The package contains modules for time series forecasting, classification, extrinsic regression and clustering, as well as a variety of utilities, transformations...
www.bing.com/ck/a?!&&p=ecca18bf67e193ed2a1fd2f938d4c0464f555e1edf8bb50660318ebbb670f260JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=09865a4c-be37-6913-29d5-4d5ebfa568c5&u=a1aHR0cHM6Ly9kaXNjdXNzaW9ucy5hcHBsZS5jb20vdGhyZWFkLzI1NTI2NjQ2OA&ntb=1
Mac Pro Additional Internal Hard drives - Apple Community
Nov 10, 2023 · Mac Pro Additional Internal Hard drives Hello, I have a MacPro7,1 and I want to fit an additional internal hard drive. What are the recommendations for the internal drives on this machine? …
stackoverflow.com/questions/65039051/how-to-filter-out-useable-data-from-csv-files-using-python
How to filter out useable data from csv files using python?
Tags: python, csv, parsing, machine-learning | Score: -1
arxiv.org/abs/2105.04117v2
Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia
Wikipedia is the largest online encyclopedia, used by algorithms and web users as a central hub of reliable information on the web. The quality and reliability of Wikipedia content is maintained by a community of volunteer editors. Machine learning a...
www.reddit.com/r/LocalLLaMA/comments/1qkuun4/invest_in_hardware_now_or_wait/
Invest in hardware now or wait?
I'm currently running models on my desktop pc but I want a dedicated machine with a small footprint. Should I invest in an m4 mac mini now or wait for the m5? Or are there other solutions at a similar...
arxiv.org/abs/2601.09982v2
Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resour…
Neural Machine Translation (NMT) models for low-resource languages suffer significant performance degradation under domain shift. We quantify this challenge using Dhao, an indigenous language of Eastern Indonesia with no digital footprint beyond the...
arxiv.org/abs/2401.01522v1
LORE++: Logical Location Regression Network for Table Structure Recognition with…
Table structure recognition (TSR) aims at extracting tables in images into machine-understandable formats. Recent methods solve this problem by predicting the adjacency relations of detected cell boxes or learning to directly generate the correspondi...
arxiv.org/abs/2303.03730v1
LORE: Logical Location Regression Network for Table Structure Recognition
Table structure recognition (TSR) aims at extracting tables in images into machine-understandable formats. Recent methods solve this problem by predicting the adjacency relations of detected cell boxes, or learning to generate the corresponding marku...