Alternatives and similar repositories for Data-Visualization:

Users that are interested in Data-Visualization are comparing it to the libraries listed below

• smsharma / mining-for-substructure-lens
  Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…
  ☆32Updated 5 years ago
• yandexdataschool / mlhep2018
  MLHEP-18 slides and stuff
  ☆26Updated 6 years ago
• LSSTDESC / plasticc-kit
  Starter Kit for the Photometric LSST Astronomical Time-series Classification Challenge
  ☆50Updated last year
• chrisorm / pydata-2018
  ☆64Updated 6 years ago
• mwalmsley / galaxy-zoo-bayesian-cnn
  Use Bayesian CNN and Active Learning to Scale Galaxy Zoo (public)
  ☆19Updated 5 years ago
• bnaul / IrregularTimeSeriesAutoencoderPaper
  ☆65Updated 6 months ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆68Updated 3 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• nperraud / 3DcosmoGAN
  ☆14Updated last year
• MustafaMustafa / cosmoGAN
  ☆23Updated 6 years ago
• ctlearn-project / ctlearn
  Deep Learning for IACT Event Reconstruction
  ☆53Updated this week
• smsharma / hierarchical-inference
  Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
  ☆13Updated last year
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆52Updated 2 years ago
• cc-skuehn / Manifold_Learning
  Worked examples about manifold learning using sklearn and jupyter
  ☆51Updated 6 years ago
• JoeriHermans / constraining-dark-matter-with-stellar-streams-and-ml
  Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.
  ☆18Updated 2 years ago
• xuedong / machine-learning-summer-schools
  Curated materials for different machine learning related summer schools
  ☆19Updated 3 years ago
• yandexdataschool / mlhep2019
  MLHEP'19 slides and notebooks
  ☆45Updated 5 years ago
• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆32Updated 2 years ago
• glouppe / recnn
  Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
  ☆46Updated 5 years ago
• data-psl / lectures2020
  ☆46Updated 2 years ago
• henrysky / astroNN
  Deep Learning for Astronomers with Keras
  ☆195Updated last month
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 4 years ago
• dfm / tf-tutorial
  A non-traditional TensorFlow tutorial
  ☆49Updated 4 years ago
• dswah / sgcrfpy
  SGCRFpy: Sparse Gaussian Conditional Random Fields in Python
  ☆29Updated 8 years ago
• pmelchior / ml-for-the-sciences
  Material for the "ML for the Sciences" meeting at Princeton University
  ☆52Updated 5 years ago
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆30Updated last year
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆31Updated last year
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated 3 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year