ReScience/MLRC
Editorial venue for ML Reproducibility Challenge Accepted papers
This project helps authors whose papers have been accepted to the ML Reproducibility Challenge 2021 prepare their camera-ready manuscripts for publication. It takes your existing LaTeX source files and guides you through adapting them to the ReScience journal template, ensuring all necessary metadata and code archival links are correctly included. The primary users are researchers and academics who need to finalize their accepted machine learning reproducibility papers.
No commits in the last 6 months.
Use this if you are an author of a paper accepted to the ML Reproducibility Challenge 2021 and need to prepare your camera-ready submission according to ReScience journal standards.
Not ideal if you are looking to submit a new research paper or a paper from a different conference/journal, as this process is specific to the ML Reproducibility Challenge 2021.
Stars
17
Forks
96
Language
TeX
License
—
Category
Last pushed
Aug 02, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ReScience/MLRC"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
csinva/csinva.github.io
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
ml-tooling/best-of-jupyter
🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools)....
louisfb01/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in...
leehanchung/awesome-full-stack-machine-learning-courses
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia,...
harleyszhang/cv_note
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/