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Overview
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- BNNs
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  - Bayesian Neural Networks Working Group
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    My notes
    
    TensorFlow 2.0
    
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    Numpyro
    
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    Other
    
    Explorers Group: TF 2.X and PyTorch for not so Dummies
    
    Key Figures
    
    Controversy
    
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    Prezis
    
    TF2.X and PyTorch
  - Theory
    Theory
    
    Index
    
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    Videos
- Starspots
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Appendix
Appendix
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- Bayesian
  Bayesian
  - Exponential Family of Distributions
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  - Solving Hard Integral Problems
  - Bayesian: Language of Uncertainty
  - Kernel Density Estimation
  - KL Divergence
  - Mixture Models
  - Monte Carlo
  - PDF Estimation
  - PDF Estimation
  - Regression
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  - Variational Inference
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    Dropout
    
    Literature
    
    Regression master
- Concepts
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- Density
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  - Conditional Density Estimation
  - Generative Modeling
  - Histograms
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  - Flows
    Flows
    
    Applications in Earth Science
    
    Gaussinization
    
    HouseHolder Flows
    
    Normalizing Flows Literature
    
    Continuous Mixture CDFs
  - Gaussianization
    Gaussianization
    
    RBIG for Spatial-Temporal Representation Analysis
    
    RBIG 2.0 Ideas
    
    Unscented Transformation
    
    Applications
    Applications
    
    Climate
    
    Demo: Gaussianization
    
    Drought
    
    Spatial temporal
    
    Software
    Software
    
    Coupling Layers
    
    Loss Functions
    
    Marginal Gaussianization
    
    Marginal Uniformization
    
    Refactoring RBIG (RBIG 1.1)
    
    Rotation
    
    Theory
    Theory
    
    Gaussianization
    
    Information Theory Measures
    
    Literature Review
    
    Related Methods
- Gps
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- Information
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- Kernels
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  - Other Distances
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  - Density
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    Kernel Density Estimation
  - Derivatives
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    Overview
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    Kernels and Information Measures
    
    Similarity Measures
- Math
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- Similarity
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  - GPs and Uncertain Inputs through the Ages
Projects
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    Next Steps
  - Taylor Expansion
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    Error Propagation
    
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    Linearized GP
  - Variational
    Variational
    
    Variational Strategies
    
    Egp pyro svgp
    Egp pyro svgp
    
    eSVGP 1D Demo
    
    Egp pyro vgp
    Egp pyro vgp
    
    eVGP 1D Demo
  - Monte carlo
    Monte carlo
    
    MCMC eGP
- Ml4astro
  Ml4astro
- Similarity
  Similarity
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Resources
Resources
- My Resources
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- My WorkFlow My WorkFlow
  Table of contents
- Reproducibility
- Machine learning
  Machine learning
- Math
  Math
  - Bisection Method
- Python
  Python
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    Code
    
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    Large Scale
  - Good code
    Good code
    
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    Pythonic
    
    Typing
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    Packages
    
    Earth-Sci Stuff
    
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    Logging
    
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    Parallel Programming
    
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    Plotting Libraries
    
    PyTorch
    
    Scikit-Learn
    
    SQL
  - Remote computing
    Remote computing
    
    Overview
    
    JupyterLab + Slurm
    
    VSCode
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    Python Ecosystem
    
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- Tips
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Snippets
Snippets
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- Bash
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- Bayesian
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  - Error in GPs in Sklearn
- Earth
  Earth
  - Cartesian Coordinates 2 Geocoordinates
  - XArray
- Latex
  Latex
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- Markdown
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- Ml
  Ml
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- My configs
  My configs
  - MkDocs
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    Conda
    
    Env jax
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    Install JupyterLab Stuff
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- Numpy
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- Parallel
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- Python
  Python
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  Scipy
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    Tif Files
Talks
Talks
Thesis
Thesis
- My Thesis
- Related Publications
- Logistics
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- Quotes
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- My Thesis: A Overview
- Toc
- Chapters
  Chapters
  - 1 introduction
    1 introduction
    
    Earth Science Setting
    
    Machine Learning Setting
    
    1.3 thesis
  - 2 models
    2 models
    
    Sensitivity
    
    Similarity
    
    Uncertainty
  - 3 similarity
    3 similarity
    
    Hybrid Approaches
    
    Kernel Methods
    
    Neural Networks
    
    Randomized
  - 4 information
    4 information
    
    Density
    Density
    
    Overview
    
    Density Estimation
    
    Parametric Gaussianization
    
    Normalizing Flows
    
    Parametric
    
    Rotation-Based Iterative Gaussianization (RBIG)
    
    Information
    Information
    
    Information Theory
    
    TODO
  - 5 applications
    5 applications
    
    Sensitivity Applications
    
    Similarity Applications
    
    Uncertainty Applications
Tutorials
Tutorials
- Tutorials
- Earth sci
  Earth sci
- Gaussian processes
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  - ideas
- Jax
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    Bandwidth Approximation
    
    Kernel Derivatives
    
    Kernel Matrices
    
    MonteCarlo
    
    Pairwise
    
    Resources
- Jupyter vscode
  Jupyter vscode
  - Using Jupyter Notebooks for VSCode Remote Computing
- Manifold learning
  Manifold learning
  - Semisupervised Manifold Alignment
  - 6 laplacian eigenmaps
- Pytorch nns
  Pytorch nns
- Remote computing
  Remote computing
- Tf2
  Tf2
  - Slides
  - Docs
    Docs
    
    Css
    Css
    
    Theme
    Theme
    
    Index
    
    Plugin
    Plugin
    
    Markdown
    Markdown
    
    Markdown Demo

Table of contents

0. Ideas - Markdown
1. Prototyping - JupyterLab
2. Good - VSCode
3. Theory & Empirical Documentation - Docsify

My WorkFlow¶

0. Ideas - Markdown¶

1. Prototyping - JupyterLab¶

2. Good - VSCode¶

3. Theory & Empirical Documentation - Docsify¶

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