mitmath / computational-thinking
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
β2,660Updated this week
Alternatives and similar repositories for computational-thinking:
Users that are interested in computational-thinking are comparing it to the libraries listed below
- Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)β1,879Updated last month
- Julia Animations and Visualizationsβ834Updated 11 months ago
- π Simple reactive notebooks for Juliaβ5,087Updated this week
- Concise and beautiful algorithms written in Juliaβ1,346Updated 3 weeks ago
- Interactive data visualizations and plotting in Juliaβ2,497Updated this week
- β1,089Updated last year
- Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary β¦β2,921Updated this week
- Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemicβ503Updated 2 years ago
- Learn Julia via interactive tutorials!β1,302Updated 8 months ago
- Powerful convenience for Julia visualizations and data analysisβ1,876Updated this week
- Repository of best practices for deep learning in Julia, inspired by fastaiβ587Updated 3 months ago
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.β731Updated 10 months ago
- (yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.β993Updated 3 months ago
- Please do not feed the modelsβ922Updated 4 months ago
- A Julia machine learning frameworkβ1,830Updated 3 weeks ago
- Bayesian inference with probabilistic programming.β2,098Updated this week
- 18.335 - Introduction to Numerical Methods courseβ515Updated this week
- Tutorials and information on the Julia language for MIT numerical-computation courses.β757Updated last month
- Symbolic programming for the next generation of numerical softwareβ1,398Updated this week
- An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for β¦β1,492Updated this week
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.β332Updated 4 years ago
- Julia installer and version multiplexerβ1,079Updated last week
- Relax! Flux is the ML library that doesn't make you tensorβ4,597Updated last week
- Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learninβ¦β887Updated this week
- Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassarβ517Updated 7 months ago
- Award winning software library for nonlinear dynamics and nonlinear timeseries analysisβ866Updated 3 months ago
- The perfect sidekick to your scientific inquiriesβ854Updated 3 months ago
- Port of the book Think Python to the Julia programming languageβ554Updated 7 months ago
- 18.330 Introduction to Numerical Analysisβ366Updated last year
- A template for textbooks in the same style as Algorithms for Optimizationβ361Updated 9 months ago