Awesome AI in Finance
Section: Framework · High-performance TensorFlow library for quantitative finance.
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High-performance TensorFlow library for quantitative finance from Google
Section: Framework · High-performance TensorFlow library for quantitative finance.
Section: Mathematics · High-performance TensorFlow library for quantitative finance.
Section: Financial Instruments & Pricing · Python - High-performance TensorFlow library for quantitative finance.
Section: Pricing · High-performance TensorFlow library for quantitative finance from Google
Section: Pricing · High-performance TensorFlow library for quantitative finance from Google
Modern, comprehensive probabilistic programming framework in Python. Bayesian modeling with advanced MCMC sampling, variational inference, and seamless integration with ArviZ for visualization. Apache 2.0 licensed.
An implementation of NumPy-compatible multi-dimensional array on CUDA. CuPy consists of the core multi-dimensional array class, cupy.ndarray, and many functions on it.
Python module that allows users to explore data, estimate statistical models, and perform statistical tests.
Creation, manipulation, and study of complex networks. The foundational graph analysis library for Python data science.
Scientific computing algorithms (optimization, linear algebra, statistics, signal processing).