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 ### Optimization
 
 - [Deepdow](https://github.com/jankrepl/deepdow) | `Python` | - Python package connecting portfolio optimization and deep learning. Its goal is to facilitate research of networks that perform weight allocation in one forward pass.
-- [PyPortfolioOpt](https://github.com/robertmartin8/PyPortfolioOpt) | `Python` | - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
+- [PyPortfolioOpt](https://github.com/robertmartin8/PyPortfolioOpt) | `Python` | - Financial portfolio optimizations in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
+- [Riskfolio-Lib](https://github.com/dcajasn/Riskfolio-Lib) | `Python` | - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
 - [empyrial](https://github.com/ssantoshp/Empyrial) | `Python` | - Empyrial is a Python-based open-source quantitative investment library dedicated to financial institutions and retail investors, officially released in March 2021.
 - [spectre](https://github.com/Heerozh/spectre) | `Python` | - spectre is a GPU-accelerated Parallel quantitative trading library, focused on performance.