This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.
polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...
Abstract: With the introduction of new process technology, the cost of developing standard cell libraries has escalated due to the need for multiple design iterations to optimize performance within ...
Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...