High-performance TensorFlow library for quantitative finance.
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Updated
Mar 12, 2024 - Python
High-performance TensorFlow library for quantitative finance.
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
The Go kernel for Jupyter notebooks and nteract.
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.
Data science and Big Data with Python
Python library for arbitrary-precision floating-point arithmetic
Fortran Standard Library
Quantitative Interview Preparation Guide, updated version here ==>
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
PDE-Net: Learning PDEs from Data
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
Grid-based approximation of partial differential equations in Julia
Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
Numerical Analysis Implementations in Various Languages
Escrita colaborativa de recursos educacionais abertos sobre cálculo numérico.
A C++ header-only library of statistical distribution functions.
Repository for Numerical Analysis course given by Assoc. Prof. Dr. Bora Canbula at Computer Engineering Department of Manisa Celal Bayar University.
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Materiales del curso de Métodos Numéricos con Python - Parte 1 Cálculo Numérico
Numerical Methods in SciPy
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