This library provides high-performance components leveraging the hardware acceleration support and automatic differentiation of TensorFlow. README.md · Issues 26 · Setup.py · Pull requests 9

16 мар. 2023 г. · Module: tf_quant_finance.models View source TensorFlow Quantitative Finance tools to build Diffusion Models.

InAccel is a product for you to build, ship and run FPGA accelerated applications.

TensorFlow Finance has built-in library for unconstrained numerical optimization. This notebook shows how to use it.

9 сент. 2024 г. · TF Quant Finance: TensorFlow based Quant Finance Library From Google. Examples of options pricing, curve fitting, and optimization using ...

17 нояб. 2024 г. · TF Quant Finance: TensorFlow-Based Quant Finance Library Let's dive in (+ 3 tutorials):

Released: Nov 22, 2022 InAccel tf-quant-finance-like package Project description tf-quant-finance -like Package InAccel PyPI version

17 нояб. 2024 г. · TF Quant Finance: TensorFlow-Based Quant Finance Library Let's dive in (+ 3 tutorials): TF Quant Finance provides high-performance ...

The library will provide TensorFlow support for foundational mathematical methods, mid-level methods, and specific pricing models. The coverage is being ...

TF Quant Finance: TensorFlow based Quant Finance Library · Table of contents · Introduction · Installation · TensorFlow training · Development roadmap.