AI & Data Sciencenmll-concept.vercel.app · Open Source100% Complete
NMLL Studio Web↗
A whole machine learning workspace. In your browser.
MACHINE LEARNING WORKSPACENMLL Studio Web
Neura Machine Learning Lab brings code editing, notebooks, visual DAG pipelines, training metrics, and dataset preparation into an open-source browser workspace.
An AI-native browser workspace unifying multi-tab code editing, Jupyter notebook compilation, visual DAG pipeline design, real-time training metrics, and Gemini copilots.
Key Engineering Highlights
01
Multi-tab browser IDE & interactive Jupyter compiler with live Python kernel simulation.
02
Drag-and-drop visual DAG pipeline designer & dataset wrangler with automated EDA profiling.
03
SHAP & LIME model explainability dashboards, Recharts epoch metrics, & Gemini multi-agent copilots.
PRODUCTION IMPLEMENTATION
Under the hood.
An illustrative snippet demonstrating the core architecture, data pipelines, and engine logic.
typescript
// NMLL Studio Multi-Agent Copilot Integration
import { GoogleGenAI } from '@google/genai';
const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });
const response = await ai.models.generateContent({
model: 'gemini-2.5-flash',
contents: 'Analyze PyTorch training loss convergence curve & suggest DAG pipeline optimizations.',
});NEXT PROJECT