Automated pipeline for lens modelling based on lenstronomy
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Updated
Aug 31, 2026 - Jupyter Notebook
Automated pipeline for lens modelling based on lenstronomy
Tool for automated generation of computational workflows.
[ICML 2025 Oral] This is the official repository of the paper "What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities"
This project promulgates an automated end-to-end ML pipeline that trains a biLSTM network for sentiment analysis, experiment tracking, benchmarking by model testing and evaluation, model transitioning to production followed by deployment into cloud instance via CI/CD
Identifies the faulty wafer before it can be used for the fabrication of integrated circuits and, in photovoltaics, to manufacture solar cells. The project retrains itself after every prediction, making it more robust and generalized over time.
An automated pipeline for homology-modeling based on modeller
Transformando datos deportivos en insights tácticos. Desarrollo de visualizaciones avanzadas y flujos automatizados para el análisis de rendimiento de equipos y jugadores mediante IA y Python
Autonomous opportunity discovery engine — ingests Reddit, HN, GitHub, and Play Store signals, clusters pain points with HDBSCAN, and surfaces ranked micro-SaaS opportunities via Telegram.
The goal of this system is to provide a lightweight inference API that can be deployed on low-resource devices (like Raspberry Pi or Jetson Nano) to classify images captured by embedded cameras. It balances the trade-off between model accuracy and inference latency.
Autonomous, end-to-end AI podcast & voice briefing network. Scrapes tech/business news via Firecrawl, curates & scripts dual-host dialogues using OpenAI, and renders high-fidelity multilingual voices via Gemini TTS
🚀 End-to-end ML project: 93% accurate churn prediction + customer segmentation with Random Forest & K-Means. Features automated pipeline, Streamlit dashboard, comprehensive testing, and cross-platform deployment. Production-ready with 505K+ customer dataset analysis.
End-to-end data engineering pipeline implementing Medallion Architecture (Bronze-Silver-Gold) for trip transaction analytics. Automated ETL using Azure Data Factory, Databricks, and Delta Lake with real-time monitoring and email notifications via Logic Apps.
SlideGen is an AI-powered tool that transforms any topic into a ready-to-present PowerPoint presentation using OpenAI's GPT and DALL·E APIs. Whether you're an educator, professional, or student, SlideGen simplifies the slide creation process across three modes: Desktop GUI (Tkinter), Web app (Streamlit), Airtable automation; all given for free😁✌🏻
Production-ready data pipeline with Jupyter notebook, SQLite database modeling (star schema), and automated ETL workflows for customer churn analysis and segmentation.
End-to-end BTC price prediction using ML (XGBoost, RF, Lasso), CoinGecko API, Power BI, and Windows automation. Includes daily updates, weekly retraining, and dashboards.
The Auditable Data Pipeline Governance
A Node.js CRUD API with PostgreSQL database integration, containerized using Docker, and automated with a Jenkins CI/CD pipeline.
🏎️ An AI-powered Formula 1 Strategy Engineer. Features a Llama 3.3 agent, physics-based simulations, and an automated ML pipeline that retrains itself every race week. Built with Streamlit, FastF1, and Groq.
Automated threat intelligence pipeline tracking disposable email domains, typosquatting, and malicious infrastructure.
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