SavvasRaptis

SavvasRaptis's Stars

• wiltbemj/CGS-Tools

  Description of methods to access CGS models results using kaipy

  3

• louis-richard/irfu-python-workshop

  Language:Jupyter Notebook21

• SciQLop/SciQLop

  SciQLop is an ergonomic and efficient application to browse and label in situ plasma measurements from multi-mission satellite data.

  Language:Jupyter Notebook135

• wannesm/dtaidistance

  Time series distances: Dynamic Time Warping (fast DTW implementation in C)

  Language:Python1.1k186

• connor-obrien888/prime

  PRIME (Probabilistic Regressor for Input to the Magnetosphere Estimation) is a probabilistic algorithm that uses solar wind time history from L1 monitors to generate predictions of near-Earth solar wind with uncertainties.

  Language:Jupyter Notebook52

• SavvasRaptis/Helio-machine-learning-examples-TF

  Simple machine learning examples with notebooks in space and solar physics using tensorflow

  Language:Jupyter Notebook6

• cmartink93/soho-ml-data-ready-martinkus

  CM's version of code for refactor

  Language:Jupyter Notebook1

• louis-richard/irfu-python

  Python routines to work with space data, particularly with MMS data. Also some general plasma routines.

  Language:Python183

• irfu/irfu-matlab

  Matlab routines to work with space data, particularly with MMS and Cluster/CAA data. Also some general plasma routines.

  Language:MATLAB6146

• tunguz/ML_Resources

  GitHub Repo with various ML/AI/DS resources that I find useful

  46037

• astroDimitrios/Astronomy

  Astronomy resources and code

  Language:Jupyter Notebook7817

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python171k44.8k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.9k5.9k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k46.1k

• AstraZeneca/awesome-explainable-graph-reasoning

  A collection of research papers and software related to explainability in graph machine learning.

  2k130

• aaronwangy/Data-Science-Cheatsheet

  A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

  Language:TeX5k721

• ml874/Data-Science-Cheatsheet

  Language:TeX2.5k614

• benmoseley/harmonic-oscillator-pinn

  Code accompanying my blog post: So, what is a physics-informed neural network?

  Language:Jupyter Notebook576159