GitHub / GitData-GA 2 Repositories
GitData-GA/archive.gd.edu.kg
Language: HTML - Size: 97.4 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

GitData-GA/racelab
Optimize racing tracks like a pro – for projects, competitions, and innovation.
Language: Python - Size: 2.88 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

GitData-GA/GenAI
GenAI harnesses the power of advanced models like GPT-4 and Gemini Pro to serve as versatile coding and writing assistants for users in both R and, soon, Python. This toolbox empowers users with a range of capabilities, including text generation, code optimization, natural language processing, chat assistance, and image interpretation.
Language: R - Size: 11.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 9 - Forks: 1

GitData-GA/h5n1
The study focuses on modeling and predicting H5N1 bird flu outbreaks in the United States at the county level, utilizing diverse statistical techniques and machine learning models.
Language: CSS - Size: 123 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 2

GitData-GA/shot-marilyns-analysis
Andy Warhol's Shot Marilyns showcases how color serves as a powerful language, evoking emotions and responses from viewers. Our research delves into how Warhol transformed a single iconic image into five distinct masterpieces.
Language: Python - Size: 249 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

GitData-GA/CA-Election-2022-Data-Challenge
The study evaluates Proposition 30's effectiveness in helping California achieve its emission reduction goal of 80% below 1990 levels by 2050. Specifically, it assesses the impact of the proposed tax allocation, with 80% dedicated to the Zero Emission Vehicle program and 20% to Wildfire Response and Prevention Programs.
Language: HTML - Size: 52.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

GitData-GA/itu5g
This GitHub repository presents our solution to the International Telecommunication Union (ITU) 5G Energy Consumption Modeling Challenge hosted on Zindi. The challenge addresses concerns over the energy consumption of 5G network deployments, despite being more energy-efficient than 4G networks.
Language: Jupyter Notebook - Size: 6.28 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

GitData-GA/iasc2023
Language: HTML - Size: 141 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

GitData-GA/data
Language: Jupyter Notebook - Size: 6.73 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

GitData-GA/usresp2023
Language: Jupyter Notebook - Size: 220 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

GitData-GA/mathjax
Language: JavaScript - Size: 26 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

GitData-GA/pdf.js
Language: JavaScript - Size: 5.33 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
