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#python #artificial_intelligence #atari #deep_learning #diffusion_models #machine_learning #reinforcement_learning #research #world_models

DIAMOND is a new way to train AI agents using a technique called diffusion in world models. It allows the agent to learn and play games like Atari and even simulate environments like Counter-Strike: Global Offensive. The benefit to you is that you can easily try out these pre-trained models on your own computer by following simple installation steps. You can watch the AI play, take control yourself, and even adjust how the AI imagines the game world, making it a fun and interactive way to explore advanced AI technology.

https://github.com/eloialonso/diamond
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#python #algorithmic_trading #auto_quant #deep_learning #finance #fintech #investment #machine_learning #paper #platform #python #quant #quant_dataset #quant_models #quantitative_finance #quantitative_trading #research #research_paper #stock_data

Qlib is an open-source platform for quantitative investment that uses AI technologies. It supports various machine learning models and helps in finding valuable signals in financial data, adapting to market dynamics, and optimizing trading strategies. Here are the key benefits Qlib introduces RD-Agent, a tool that automates factor mining and model optimization, making it easier to develop quant investment strategies.
- **Diverse Machine Learning Models** It covers the entire chain of quantitative investment, including data processing, model training, backtesting, and order execution.
- **Customizable Workflows** Qlib's data server is optimized for performance, allowing fast data processing and retrieval, which is crucial for real-time trading decisions.

Overall, Qlib simplifies the process of building and optimizing quant investment strategies, making it a powerful tool for researchers and investors.

https://github.com/microsoft/qlib