cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.
GitHub repository with 396 stars and 76 forks.
Language: Jupyter Notebook
Topics: algorithmic-trading, cufolio, cuopt, gpu-acceleration, portfolio-optimization, quantitative-finance
Trending score 0.93, activity score 0.05, stars gained +8, forks gained +2.
2026-06-05: 396 stars and 76 forks.
cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.
GitHub repository with 396 stars and 76 forks.
Trending score: 0.93; stars gained: +8; forks gained: +2.
Language: Jupyter Notebook
Topics: algorithmic-trading, cufolio, cuopt, gpu-acceleration, portfolio-optimization, quantitative-finance
Python-based quant trading research project for short-term reversal option setups, universe selection, staged-entry backtesting, and live paper trading.
GitHub repository with 242 stars and 26 forks.
Trending score: 0.25; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: algorithmic-trading, backtesting, blackscholes, crypto-trading-agent, options-trading, python
A Python framework for managing positions and trades in DeFi
GitHub repository with 148 stars and 36 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: algorithmic-trading, binance-smart-chain, blockchain, cryptocurrency, defi, ethereum
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,986 stars and 4,249 forks.
Trending score: 1.87; stars gained: +8; forks gained: +6.
Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 5,624 stars and 1,018 forks.
Trending score: 1.87; stars gained: +93; forks gained: +13.
Language: Jupyter Notebook
GitHub repository with 2,691 stars and 332 forks.
Trending score: 1.82; stars gained: +48; forks gained: +12.
Language: Jupyter Notebook
Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
GitHub repository with 131 stars and 45 forks.
Trending score: 1.70; stars gained: +32; forks gained: +14.
Language: Jupyter Notebook
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
GitHub repository with 41,902 stars and 8,303 forks.
Trending score: 1.49; stars gained: +23; forks gained: +3.
Language: Jupyter Notebook
Topics: course, data-engineering, dbt, docker, free, kafka
Official implementation of paper "VLM³: Vision Language Models Are Native 3D Learners".
GitHub repository with 218 stars and 9 forks.
Trending score: 1.46; stars gained: +33; forks gained: +0.
Language: Jupyter Notebook
Topics: 3d-foundation-model, camera-pose-estimation, depth-estimation, image-matching, large-language-models, object-level-3d
"Vibe-Trading: Your Personal Trading Agent"
GitHub repository with 10,815 stars and 2,114 forks.
Trending score: 3.06; stars gained: +1,066; forks gained: +130.
Language: Python
Topics: backtesting, multi-agent, quantitative-finance, trading, ai-agent, algorithmic-trading
Free, open source crypto trading bot
GitHub repository with 51,164 stars and 10,658 forks.
Trending score: 1.83; stars gained: +65; forks gained: +7.
Language: Python
Topics: algorithmic-trading, bitcoin, cryptocurrencies, cryptocurrency, freqtrade, python
Open Source Algo Trading Platform for Everyone
GitHub repository with 1,997 stars and 969 forks.
Trending score: 1.38; stars gained: +15; forks gained: +7.
Language: Python
Topics: algotrading, amibroker, flask, python, sqlite, tradingview
Alpha Forge — an agentic AI operating system for systematic trading.
GitHub repository with 111 stars and 17 forks.
Trending score: 1.34; stars gained: +23; forks gained: +2.
Language: Python
Topics: algorithmic-trading, alpha-research, backtesting, financial-ml, ibkr, machine-learning
cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.
GitHub repository with 396 stars and 76 forks.
Trending score: 0.93; stars gained: +8; forks gained: +2.
Language: Jupyter Notebook
Topics: algorithmic-trading, cufolio, cuopt, gpu-acceleration, portfolio-optimization, quantitative-finance
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
GitHub repository with 1,642 stars and 315 forks.
Trending score: 0.93; stars gained: +8; forks gained: +2.
Language: Python
Topics: ai-agents, algorithmic-trading, alpaca, backtesting, broker, crypto-trading