Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...
The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
Abstract: This study aims to determine the effectiveness of predicting Parkinson's Disease and to evaluate the accuracy of different predictive models. Specifically, it compares the performance of ...
from agents import Agent, Runner from agents.extensions.models.litellm_model import LitellmModel ollamaModel = LitellmModel( model="ollama/llama3.1:latest", # api ...
The Detroit Lions were one of the NFL's most dynamic offenses last season, with Dan Campbell's stars quickly becoming Fantasy football staples. Jared Goff, Jahmyr Gibbs, David Montgomery, and Amon-Ra ...
Abstract: This study presents an optimized Logistic Regression-based predictive model for early detection of Chronic Kidney Disease (CKD) using clinical and demographic data. The framework integrates ...
Prebuilt .whl for llama-cpp-python 0.3.8 — CUDA 12.8 acceleration with full Gemma 3 model support (Windows x64). This repository provides a prebuilt Python wheel (.whl) file for llama-cpp-python, ...
Background: Distinct socioeconomic gradients in COVID-19 outcomes were observed across the United States, so an evaluation of individual resident characteristics related to economic deprivation (race ...
Department of Civil & Mineral Engineering, University of Toronto, 35 St George Street, Toronto, Ontario M5S 1A4, Canada ...
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