computing

A .NET library to run C# code in parallel on the GPU through DX12, D2D1, and dynamically generated HLSL compute and pixel shaders, with the goal of making GPU computing easy to use for all .NET developers! 🚀

Tradução do livro Pense em Python (2ª ed.), de Allen B. Downey

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

A serverless cluster computing system for the Go programming language

Fast and small Node.js worker_threads and cluster worker pool

Scientific Computing for Chemists with Python is a free book for teaching basic coding skills to chemists using Python, Jupyter notebooks, and the other Python software. This textbook teaches a variety of Python packages including NumPy, SciPy, matplotlib, pandas, seaborn, nmrglue, SymPy, scikit-image, scikit-learn, and others.

Flux, Your Gateway to a Decentralized World. https://home.runonflux.io https://api.runonflux.io https://docs.runonflux.io https://source.runonflux.io https://wiki.runonflux.io

Este repositório é um acervo abrangente de tecnologias e tópicos relacionados a TI e Desenvolvimento, oferecendo recursos e materiais para aprendizado e referência em diversas áreas de interesse da computação e tecnologia.

A collection of various resources, examples, and executables for the general NREL HPC user community's benefit. Use the following website for accessing documentation.

A reservoir computing toolbox for neuroscientists

CATS: the Climate-Aware Task Scheduler 🐈 🐈‍⬛

Scientific and statistical computing with Rust.

Fast, Expressive, & High-Performance Programming Language for those who dare

HEP Software Foundation GitHub website

My name is Fang Biao. I'm currently pursuing my Master degree with the college of Computer Science and Engineering, Si Chuan University, Cheng Du, China. For more informantion about me and my research, you can go to [my homepage](https://github.com/hisrg). One of my research interests is architecture design for deep learning and neuromorphic computing. This is an exciting field where fresh ideas come out every day, so I'm collecting works on related topics. Welcome to join us!

Evaluation code of our paper in IEEE Transactions on Cognitive Communications and Networking: ''Energy-Efficient Blockchain-enabled User-Centric Mobile Edge Computing''

A qualitative compilation of production-ready frameworks, services and repositories with a focus on Edge Computing & IoT

Scripts to make life as an NUS student better and easier.

“Persian and other languages and cultures of Iran in the digital realm”