Results for "portfolio"

85 buildable AI engineering project briefs grouped by theme (RAG, agents, evals, fine-tuning, multimodal), each with difficulty, skills shown, and reference resources. MIT licensed.

12 in-depth AI engineering project briefs with staged milestones, evals, and deploy steps. MIT licensed.

Multi-agent framework for financial trading. Simulates professional trading firm operations with 6+ specialized agent roles, backtesting, risk management, and portfolio optimization. Built with LangGraph, supports multiple LLM providers.

Evidence-first market research CLI and Agent Skill for A-share, Hong Kong, and US stocks, funds, and portfolios, with auditable JSON Evidence Packs and explicit data-quality gaps. MIT licensed.

Financial reinforcement learning framework for quantitative trading. Deep RL library for stock trading, portfolio allocation, and market execution with pre-built environments and benchmarks. MIT licensed.

AI-oriented quantitative investment platform from Microsoft. Supports diverse ML modeling paradigms including supervised learning, market dynamics modeling, and RL. Now equipped with RD-Agent for automated R&D process. MIT licensed.

Open-source personal trading agent and research autopilot platform featuring multi-agent swarms, quantitative backtesting, and broker connectors. MIT licensed.

Comprehensive curriculum covering machine learning, deep learning, NLP, computer vision, and agents by implementing them from scratch. MIT licensed.

Official collection of recipes and notebooks demonstrating tool use, prompt caching, structured outputs, and agentic workflows with Claude. MIT licensed.

Official guides for beginners to advanced users.

A collection of run-ready artificial intelligence templates and agent customizer scripts, featuring over 100 retrieval-augmented generation (RAG) and intelligent agent blueprints. Apache 2.0 licensed.