High-performance TensorFlow library for quantitative finance.
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Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
A Python native dynamical system simulation framework in the block diagram paradigm.
A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
High performance computational platform in Python for the spectral Galerkin method
A framework for high-performance domain decomposition methods.
Formal specification and generation of verifiable binary parsers, message generators and protocol state machines
:dart: Accurate sums and dot products for Python.
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.