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Top 23 MATLAB Matlab Projects
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matlab2tikz
This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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MATLAB-Simulink-Challenge-Project-Hub
This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.
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gramm
Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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SciMLBenchmarks.jl
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
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reinforcement_learning_financial_trading
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
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UoS_Beamforming
Repository for the models and code used in "UE Tracking Beamforming using a MIMO Software-Defined Radio" MSc project.
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exportToPPTX
MATLAB tool for exporting data to PowerPoint 2007+ files without the need COM-object automation.
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Numerical-Methods-with-Applications
Teach numerical methods for interpolation, differentiation, integration, and solving ODEs and PDEs with MATLAB.
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Programming-A-Starter-Project-Using-MATLAB-and-Python
A scaffolded project involving pulling and installing a Live Task and using MATLAB and Python in combination to access and analyze data from the OpenWeather web API.
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SaaSHub
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Project mention: How can I make a graphic that looks like this? I want to present multiple graphs in one figure. Thank you! | /r/matlab | 2023-05-25You can use gramm for all your fancy plotting needs, but doing something like that well will require using a vector editing software (inkscape, affinidy designer, illustrator...).
What about the other benchmarks on the same site? https://docs.sciml.ai/SciMLBenchmarksOutput/stable/Bio/BCR/ BCR takes about a hundred seconds and is pretty indicative of systems biological models, coming from 1122 ODEs with 24388 terms that describe a stiff chemical reaction network modeling the BCR signaling network from Barua et al. Or the discrete diffusion models https://docs.sciml.ai/SciMLBenchmarksOutput/stable/Jumps/Dif... which are the justification behind the claims in https://www.biorxiv.org/content/10.1101/2022.07.30.502135v1 that the O(1) scaling methods scale better than O(log n) scaling for large enough models? I mean.
> If you use special routines (BLAS/LAPACK, ...), use them everywhere as the respective community does.
It tests with and with BLAS/LAPACK (which isn't always helpful, which of course you'd see from the benchmarks if you read them). One of the key differences of course though is that there are some pure Julia tools like https://github.com/JuliaLinearAlgebra/RecursiveFactorization... which outperform the respective OpenBLAS/MKL equivalent in many scenarios, and that's one noted factor for the performance boost (and is not trivial to wrap into the interface of the other solvers, so it's not done). There are other benchmarks showing that it's not apples to apples and is instead conservative in many cases, for example https://github.com/SciML/SciPyDiffEq.jl#measuring-overhead showing the SciPyDiffEq handling with the Julia JIT optimizations gives a lower overhead than direct SciPy+Numba, so we use the lower overhead numbers in https://docs.sciml.ai/SciMLBenchmarksOutput/stable/MultiLang....
> you must compile/write whole programs in each of the respective languages to enable full compiler/interpreter optimizations
You do realize that a .so has lower overhead to call from a JIT compiled language than from a static compiled language like C because you can optimize away some of the bindings at the runtime right? https://github.com/dyu/ffi-overhead is a measurement of that, and you see LuaJIT and Julia as faster than C and Fortran here. This shouldn't be surprising because it's pretty clear how that works?
I mean yes, someone can always ask for more benchmarks, but now we have a site that's auto updating tons and tons of ODE benchmarks with ODE systems ranging from size 2 to the thousands, with as many things as we can wrap in as many scenarios as we can wrap. And we don't even "win" all of our benchmarks because unlike for you, these benchmarks aren't for winning but for tracking development (somehow for Hacker News folks they ignore the utility part and go straight to language wars...).
If you have a concrete change you think can improve the benchmarks, then please share it at https://github.com/SciML/SciMLBenchmarks.jl. We'll be happy to make and maintain another.
Instead of UITable, I used UIHTML to build a table, and it worked well for MatGPT https://github.com/toshiakit/MatGPT
Project mention: Warp Factory: numerical toolkit for analyzing warp drive spacetimes | news.ycombinator.com | 2024-04-14
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
MATLAB Matlab related posts
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- reinforcement_learning_financial_trading: NEW Deep Learning And Reinforcement Learning - star count:101.0
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A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
Index
What are some of the best open-source Matlab projects in MATLAB? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | PRMLT | 5,965 |
| 2 | matlab2tikz | 1,494 |
| 3 | MATLAB-Simulink-Challenge-Project-Hub | 1,039 |
| 4 | gramm | 757 |
| 5 | TIGRE | 504 |
| 6 | DeepSqueak | 363 |
| 7 | brainstorm3 | 352 |
| 8 | SciMLBenchmarks.jl | 290 |
| 9 | vbmc | 210 |
| 10 | MatGPT | 183 |
| 11 | reinforcement_learning_financial_trading | 141 |
| 12 | WarpFactory | 135 |
| 13 | SOFAtoolbox | 111 |
| 14 | cfdtool | 71 |
| 15 | ott | 46 |
| 16 | UoS_Beamforming | 38 |
| 17 | exportToPPTX | 32 |
| 18 | ELABorate | 26 |
| 19 | mask-rcnn | 26 |
| 20 | Numerical-Methods-with-Applications | 22 |
| 21 | MATLAB-Cody | 18 |
| 22 | Programming-A-Starter-Project-Using-MATLAB-and-Python | 17 |
| 23 | MATLAB-Guide | 14 |
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