plcrodrigues

plcrodrigues's Stars

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.9k1.4k2457.9k

• barbagroup/CFDPython

  A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

  Language:Jupyter Notebook3.5k266511.2k

• tum-pbs/PhiFlow

  A differentiable PDE solving framework for machine learning

  Language:Python1.5k2786195

• atong01/conditional-flow-matching

  TorchCFM: a Conditional Flow Matching library

  Language:Python1.4k1858115

• pdebench/PDEBench

  PDEBench: An Extensive Benchmark for Scientific Machine Learning

  Language:Python790176193

• google-research/weatherbench2

  A benchmark for the next generation of data-driven global weather models.

  Language:Python46995250

• danielward27/flowjax

  Language:Python12152415

• smsharma/awesome-neural-sbi

  Community-sourced list of papers and resources on neural simulation-based inference.

  102627

• scikit-adaptation/skada

  Domain adaptation toolbox compatible with scikit-learn and pytorch

  Language:Python9279719

• Zhengyu-Huang/InverseProblems.jl

  Language:Jupyter Notebook925212

• neuraloperator/bootcamp

  Bootcamp notebooks

  Language:Jupyter Notebook501114

• smsharma/sbi-lecture-mit

  Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.

  Language:Jupyter Notebook48102

• m2lines/L96_demo

  Lorenz 1996 two time-scale model for learning machine learning

  Language:Jupyter Notebook38144220

• mjucker/MiMA

  Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation

  Language:Fortran349321

• dg227/NLSA

  Kernel methods for statistical modeling of dynamical systems

  Language:Jupyter Notebook243119

• famura/BellaFigura

  A workflow showing how to combine Inkscape and LaTeX to obtain figures that match your document better

  Language:TeX24100

• juangamella/causal-chamber

  Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jonas Peters and Peter Bühlmann.

  Language:Python23101

• linoferreira/latex-font-survey

  A survey of my favourite free LaTeX fonts

  Language:TeX20201

• toncho11/ML_examples

  A list of examples for Machine Learning: Transformers, Large Language Models, Keras for Deep Learning, Transfer Learning with PyTorch for Image Classification, EEG Classification, Decision Trees, Statistical Hypothesis Testing, ABTesting any many more.

  Language:Jupyter Notebook16202

• MTangermann/BCI-2023-Workshop_Learning-from-small-datasets

  Collection of materials and links to talks given, tools presented, software demos etc.

  Language:Jupyter Notebook13601

• smsharma/hierarchical-inference

  Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.

  Language:Jupyter Notebook12211

• arrjon/Amortized-NLME-Models

  Applying amortizing neural posterior estimation for non-linear mixed effects models

  Language:Jupyter Notebook6100

• smsharma/deep-prob-prog-tutorials

  Tutorials for the 2022 IAIFI Summer School, covering (deep) probabilistic programming with Jax and NumPyro.

  Language:Jupyter Notebook6201

• JuliaLinhart/benchmark_sbi

  Using BenchOpt to benchmark sbi-algorithms.

  Language:HTML5523

• SciML/juliatorch

  Convert Julia functions to PyTorch autograd functions

  Language:Python526

• meom-group/tunax

  Automatic calibration of vertical ocean physics in JAX

  Language:Python4350

• Spinkoo/Simulink-based-inference

  This repo contains examples of how to use Simulink simulation to perform simulation-based inference calculations in Python

  Language:Jupyter Notebook4100

• sylvainlc/22-ISUP-MachineLearning

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• LenkaNovak/GFDL_idealized_GCM_Caltech

  This is one of Caltech's versions of the FMS code. Here configured for Caltech's HPC cluster.

  Language:Fortran10

• NelleV/takefive

  Unfolding the genome: the case study of P. falciparum

  Language:Python130