Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

A real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned

Multi-platform prediction market trading bot: trades weather temperature markets on Kalshi (KXHIGH series) and Polymarket using 31-member GFS ensemble forecasts + BTC 5-min microstructure signals. Kelly criterion sizing, signal calibration, React dashboard. (Highest profits $1.8k)

Dépôt pour apprendre Azure à partir de zéro. Ce dépôt couvre l'ensemble des fondamentaux d'Azure requis pour un ingénieur DevOps.

End-to-end ensemble trading framework that trains, backtests, and promotes validated strategies to live execution.

AI-CryptoTrader is a state-of-the-art cryptocurrency trading bot that uses ensemble methods to make trading decisions based on multiple sophisticated algorithms. Built with the latest machine learning and data science techniques, AI-CryptoTrader provides a powerful toolset and advanced trading stratgies for maximizing your cryptocurrency profits.