An automated crypto trading system designed to operate on the Bitget exchange. It fetches real-time market data, applies predictive analytics using a pretrained neural forecast model, and executes buy/sell or exit strategies based on intelligent signal generation.

A 3D multiplayer driving game - Built with Mapbox, Three.js, and .NET SignalR -Just pure vibes and endless roads to discover

A demonstration of hierarchical Durable Objects in Cloudflare Workers, enabling infinite nesting of manager/agent relationships through URL paths.

🧹 Clean up your JavaScript and TypeScript projects effortlessly with sweep, a fast CLI tool for listing and removing unused imports and code.

🚀 Build an AI-driven crypto trading bot that turns market data into profits with smart analytics and automated strategies on Bitget.

Hyper local high quality weather analytics and forecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

A Time Series Analysis of the healthyverse R pacakges

Dual-domain AI framework for airline RM and digital analytics validation

Data pipeline and inference for Proyecto Respira

Multi-country energy price forecasting system with event awareness and data quality guards.

Powerful XRP price forecasting using public data. Stacking ensemble (Bi-GRU/LSTM/CNN-LSTM + LightGBM/XGBoost, RidgeR). Fuses market OHLCV (CCXT), news sentiment & top50 whale activity. No API keys or signups. Easy setup. CPU/GPU-ready. Multi-horizon single run forecasting. Backtests + Predictions visuals: plot_charts & in-depth tensorboard dash

Kaduna state Agricultural forecast

Theta methods for time series forcasting

Solutions for Data Mining in Trading

Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

Deep generative models (GAN, Normalizing Flows, VAE) for probabilistic energy forecasting with a full evaluation suite (CRPS, Energy Score, Variogram, DM test).

A comprehensive hospital simulation system integrating discrete event simulation, real-time monitoring, machine learning predictions and interactive dashboards.

An enrollment forecasting application for the Central Connecticut State University School of Business

ml_playground