Birajit Saikia
biru-codeastromer
LLM Evaluator’2026 @ Outlier (Scale AI) | Google Summer of Code '25 Intern @jenkins-infra / @jenkinsci (GSoC) |
Languages
Repos
95
Stars
10
Forks
3
Top Language
TypeScript
Loading contributions...
Top Repositories
Non-versioned content of jenkins.io in vite.js for GSOC 2025
Hi everyone, this is my GSoC journey repo , here I will share my daily/weekly updates , my gsoc proposal final one and also documentation about my works
A static site for the Jenkins automation server
Versioned docs of jenkins.io
Minimal weak-supervision framework for NLP with label functions, one-step weighting, and a denoised-labels classifier. Deterministic, tested, and demoable.
Mechanism-design simulator for crowd labeling: peer-truth scoring incentivizes truthful reports and boosts accuracy over majority vote. Reproducible plots, tests, and a Streamlit demo.
Repositories
95Non-versioned content of jenkins.io in vite.js for GSOC 2025
The Next.js application. This is the primary workspace for your Frontend and UI/UX teams.
No description provided.
No description provided.
Outcome driven agent development framework that evolves
No description provided.
Config files for my GitHub profile.
No description provided.
A static site for the Jenkins automation server
Layer5, expect more from your infrastructure
No description provided.
No description provided.
The Node.js API service. This is where our Backend and Database teams will build the core logic.
No description provided.
No description provided.
No description provided.
No description provided.
Build system optimized for JavaScript and TypeScript, written in Rust
No description provided.
JavaScript 3D Library.
The library for web and native user interfaces.
Versioned docs of jenkins.io
Minimal weak-supervision framework for NLP with label functions, one-step weighting, and a denoised-labels classifier. Deterministic, tested, and demoable.
Mechanism-design simulator for crowd labeling: peer-truth scoring incentivizes truthful reports and boosts accuracy over majority vote. Reproducible plots, tests, and a Streamlit demo.
Budgeted active learning on graphs: benchmark showing community-aware sampling beats naive uncertainty sampling for early label efficiency.
Monte Carlo VaR/CVaR risk engine with historical correlation (Yahoo Finance), Numba-accelerated simulation, Streamlit UI, and exportable reports/plots.
No description provided.
No description provided.
Hi everyone, this is my GSoC journey repo , here I will share my daily/weekly updates , my gsoc proposal final one and also documentation about my works
Label Studio is a multi-type data labeling and annotation tool with standardized output format