gramm VS SDE

Compare gramm vs SDE and see what are their differences.

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. (by piermorel)

SDE

Example codes for the book Applied Stochastic Differential Equations (by AaltoML)
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gramm SDE
4 1
760 153
- 0.0%
7.4 0.0
16 days ago almost 3 years ago
MATLAB MATLAB
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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gramm

Posts with mentions or reviews of gramm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-19.

SDE

Posts with mentions or reviews of SDE. We have used some of these posts to build our list of alternatives and similar projects.
  • Ask HN: Good Book on Stochastic Differential Equations?
    1 project | news.ycombinator.com | 2 Feb 2022
    I am not an expert in SDEs (my background is machine learning) but if I wanted to dig more into the subject, this is where I personally would start. Code [1] and pdf [2] for the book are available.

    Simo Särkkä and Arno Solin (2019). Applied Stochastic Differential Equations. Cambridge University Press. Cambridge, UK.

    [1] https://github.com/AaltoML/SDE

    [2] https://users.aalto.fi/~asolin/sde-book/sde-book.pdf

What are some alternatives?

When comparing gramm and SDE you can also consider the following projects:

matplotlib4j - Matplotlib for java: A simple graph plot library for java, scala and kotlin with powerful python matplotlib

score_sde - Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

matlab2tikz - This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.

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.

MatGPT - MATLAB app to access ChatGPT API from OpenAI

torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

DeepSqueak - DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research

Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.

reinforcement_learning_financial_trading - MATLAB example on how to use Reinforcement Learning for developing a financial trading model

ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

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.

UoS_Beamforming - Repository for the models and code used in "UE Tracking Beamforming using a MIMO Software-Defined Radio" MSc project.