🚀 Create and publish a dynamic portfolio by just providing your GitHub username.

Digitomize, part of Microsoft for Startups Founders Hub, is an open-source platform that combines two main sections: Contests and User Profiles. It allows users to explore upcoming coding contests and dynamically create developer portfolios.

This portfolio showcasing dynamic GitHub stats, Medium blog posts, and professional experience. Built with ES6+, lit-html, and CSS3, integrates data from GitHub and Medium for real-time content.

DevB.io is an AI-powered portfolio generator that transforms your GitHub activity into a dynamic, professional portfolio. Focus on coding while DevB.io keeps your developer profile fresh and always updated, no manual work needed.

⚡ Dynamic Portfolio Website built with Next.js, Chakra UI and Contentful!

Welcome to my portfolio repository! This open-source project, built with Next.js and TypeScript, creates a dynamic and responsive portfolio. Explore the code to perfect your showcase of skills!

JS framework to dynamically generate a portfolio site from a JSON resume

🔥 Dynamically Self Updating Portfolio GitHub Action

minimal portfolio made with next.js and tailwindcss, has dynamic mdx content such as blogs & rss feed support

A modern, fully configurable developer portfolio that adapts to your content. Built with vanilla JavaScript and designed for GitHub Pages with automatic setup and dynamic content loading

This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep Reinforcement Learning (DRL). The work presented explores the use of Deep Reinforcement Learning in dynamically allocating assets in a portfolio in order to solve the Tactical Asset Allocation (TAA) problem.

Interactive portfolio website showcasing social links with themed backgrounds, dynamic audio player, and responsive design. No frameworks - just vanilla web technologies.

An interactive React 18 portfolio featuring AI-powered career assistance, dynamic project showcases with live previews, smooth Framer Motion animations, adaptive theming, mobile-optimized navigation, and SEO-enhanced architecture for professional presentation

Algorithmic Portfolio Hedging. Black-Scholes Pricing for Dynamic Hedges to produce a Dynamic multi-asset Portfolio Hedging with the usage of Options contracts.

Interactive macOS-inspired portfolio with AI-powered chat, dynamic backgrounds, and SEO optimization

Approximate Dynamic Programming for Portfolio Selection Problem

Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management since it attempts to minimize transaction costs by optimally scheduling and placing. The purpose of this project is to create dynamic statistical models of intraday trading volume prediction (in Python). By assuming the stable U shape distribution of intraday trading volume, we apply Deterministic blend, Lognormal Bayesian, Kalman filter and ARIMA model to estimate and generate out of sample forecast on 12 US equity sector ETFs. Results show that some of the proposed methods are able to obviously outperform common volume forecasting methods.

MASA: Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management.

Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and dynamic stock market. In this paper, we propose a deep ensemble reinforcement learning scheme that automatically learns a stock trading strategy by maximizing investment return. We train a deep reinforcement learning agent and obtain an ensemble trading strategy using the three actor-critic based algorithms: Proximal Policy Optimization (PPO), Advantage Actor Critic (A2C), and Deep Deterministic Policy Gradient (DDPG). The ensemble strategy inherits and integrates the best features of the three algorithms, thereby robustly adjusting to different market conditions. In order to avoid the large memory consumption in training networks with continuous action space, we employ a load-on-demand approach for processing very large data. We test our algorithms on the 30 Dow Jones stocks which have adequate liquidity. The performance of the trading agent with different reinforcement learning algorithms is evaluated and compared with both the Dow Jones Industrial Average index and the traditional min-variance portfolio allocation strategy. The proposed deep ensemble scheme is shown to outperform the three individual algorithms and the two baselines in terms of the risk-adjusted return measured by the Sharpe ratio.

Explore my interactive 3-D portfolio website. This immersive showcase highlights my work in a visually engaging way. Easily customizable with dynamic data, making it a breeze to create your own stunning 3-D portfolio.

Fovero-Folio is a cutting-edge portfolio platform meticulously crafted with React, designed to showcase your talents, projects, and achievements in a dynamic and visually stunning manner. With its sleek and intuitive user interface, Fovero-Folio offers a seamless browsing experience for visitors to explore your work with ease.

A modern and responsive personal portfolio website designed to highlight my work as a Front-End Developer. Built with clean HTML, CSS, and JavaScript, it includes smooth AOS animations, an immersive video background, a dynamic projects section, and a mobile-friendly navigation system. Fully optimized for performance, clarity, and user experience

A modern 3D portfolio built with React.js, Three.js, and Tailwind CSS, showcasing my skills through customizable 3D sections, engaging animations with Framer Motion, and a responsive design. Features include a 3D hero, interactive work showcases, animated projects, a 3D Earth model contact form with EmailJS, and a dynamic starry background.

Clean and responsive portfolio website powered by React, a dynamic and user-friendly platform for individuals to present their skills, experiences and accomplishment.

A dynamic hub for trading, portfolio management, indicating real-time execution and alerts

🧠 A production-grade, agentic RAG platform for portfolio intelligence, combining LangChain, Chroma/FAISS, Hugging Face embeddings, and Ollama with dynamic entity extraction, backend API tool-chaining, and a real-time interactive assistant across deploy-ready frontend, backend, and infrastructure stacks.

✈ Hazrat Ali Portfolio Website 🚁 built to handle dynamic 🛼 content smooth performance 🪂and secure operations 🛸RESTful APIs projects, blogs 🏀contact forms, and more 🔐 Authentication, admin 🎮 controls and form validation 📦 Built with Node.js, Express, MongoDB 🫐 Well-documented modular 🚒 and easy to integrate 🚖

Dynamic Portfolio helps you create simple websites by just filling out forms.

Dynamic portfolio optimization

A luxury 3D Portfolio built with React, Three.js, and Framer Motion, featuring a neural network AI model and dynamic project showcases.