jakobnissen / hardware_introduction
What scientific programmers must know about CPUs and RAM to write fast code.
☆436Updated last week
Alternatives and similar repositories for hardware_introduction:
Users that are interested in hardware_introduction are comparing it to the libraries listed below
- Book on Julia for Data Science☆481Updated this week
- A short course on Julia and open-source software development☆306Updated last year
- Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.☆388Updated 3 weeks ago
- Tutorials on Julia topics☆197Updated 4 years ago
- Julia package for kernel functions for machine learning☆268Updated last month
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆725Updated 9 months ago
- Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox☆142Updated 3 years ago
- ☆94Updated 4 years ago
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆248Updated 2 years ago
- Julia bindings for the Enzyme automatic differentiator☆473Updated last week
- Create books with Julia☆271Updated 5 months ago
- Macro(s) for vectorizing loops.☆754Updated 2 months ago
- forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs☆447Updated 3 weeks ago
- ⅀☆618Updated last week
- 18.S096 - Applications of Scientific Machine Learning☆308Updated 2 years ago
- Taylor polynomial expansions in one and several independent variables.☆353Updated this week
- Simple package for literate programming in Julia☆556Updated last month
- "Distributions" that might not add to one.☆393Updated last week
- Web page with basic examples showing how to use makie in julia☆377Updated 2 weeks ago
- 18.S096 three-week course at MIT☆259Updated last year
- A Julia Basket of Hand-Picked Krylov Methods☆368Updated last week
- A workshop on writing good scientific code: reproducible, re-traceable, readable, extendable, and well-documented.☆258Updated 2 months ago
- Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic☆503Updated last year
- Heterogeneous programming in Julia☆393Updated this week
- Port of the book Think Python to the Julia programming language☆554Updated 5 months ago
- A Julia style guide that lives in a blue world☆497Updated 10 months ago
- The perfect sidekick to your scientific inquiries☆843Updated last month
- Concise and beautiful algorithms written in Julia☆1,339Updated last year
- Geometric Deep Learning for Flux☆352Updated last year
- 18.335 - Introduction to Numerical Methods course☆507Updated 8 months ago