GitHub

pymuvera — MUVERA + EGGROLL + Spectral SimHash: Fixed Dimensional Encodings for Multi-Vector Retrieval

v0.4.2 documents CALIBRATED_EIGENBASIS as an experimental SpectralQuant-inspired FDE/LSH adaptation, adds explicit SpectralQuant attribution, and calls out the main Eigenbasis reconstruction-risk ...
GitHub

c-lasso: a Python package for constrained sparse regression and classification

c-lasso is a Python package that enables sparse and robust linear regression and classification with linear equality constraints on the model parameters. For detailed info, one can check the ...
Scientific Research Publishing

A Hybrid Air Quality Prediction Method Based on VAR and Random Forest ()

College of Mathematical and Statistics, Sichuan University of Science and Engineering, Zigong, China. With the rapid development of the global economy and the acceleration of urbanization, ...
C&EN

RamanSPy: An Open-Source Python Package for Integrative Raman Spectroscopy Data Analysis

Department of Computing & UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London SW7 2AZ, United Kingdom Department of Materials, Department of Bioengineering & ...
Frontiers

Predicting Ischemic Stroke Outcome Using Deep Learning Approaches

Predicting functional outcomes after an Ischemic Stroke (IS) is highly valuable for patients and desirable for physicians. This facilitates physicians to set reasonable goals for patients and ...
Frontiers

Learning Without Feedback: Fixed Random Learning Signals Allow for Feedforward Training of Deep Neural Networks

While the backpropagation of error algorithm enables deep neural network training, it implies (i) bidirectional synaptic weight transport and (ii) update locking ...
Visual Studio Magazine

How to Do Thompson Sampling Using Python

Thompson Sampling is an algorithm that can be used to analyze multi-armed bandit problems. Imagine you're in a casino standing in front of three slot machines. You have 10 free plays. Each machine ...