seeingall2022 Goto Github PK

followers: 0.0 following: 35.0 repos: 124.0 gists: 0.0

Type: User

seeingall2022's Projects

differentialequations.jl

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

effective-typescript

Effective TypeScript 2nd Edition: 83 Specific Ways to Improve Your TypeScript

expert-data-visualization

Code Repository for Expert Data Visualization by Packt

fdm-book

Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen

feapack

A finite element analysis package for solids using Python.

fedoo

Finite element library

fenics-tutorial

Source files and published documents for the FEniCS tutorial.

finite-element-course

The implementation exercise for the final year finite element course given in the Maths Department of Imperial College London

fipy

FiPy is a Finite Volume PDE solver written in Python

firedrake

Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)

frontend-development-projects-with-vue.js-3

Learn to build scalable web applications and dynamic user interfaces with Vue

fsm_eigenvalue

Parametric modeling of buckling and free vibration in prismatic shell structures, performed by solving the eigenvalue problem in HCFSM

geometry-for-programmers-code

The source code for the Geometry for Programmers book

get-programming-with-nodejs

Code samples for Get Programming with Node.js (See verhagen's VM setup for exercises in this book: https://github.com/verhagen/get-programming-with-nodejs)

gitlab-quick-start-guide

Published by Packt

graphs-network-science

Accompanying repository for my book about Graph Data Science

grpc-go-for-professionals

hands-on-data-science-with-anaconda

Hands-On Data Science with Anaconda, published by Packt

hands-on-design-patterns-with-cpp-second-edition

Hands-On Design Patterns with C++ (Second Edition), published by Packt

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.