janosh.github.io/diagrams allows searching, sorting, opening in Overleaf and downloading figures (PDF/SVG/PNG) from this collection.

Have a TikZ/CeTZ diagram you'd like to share? Submit a PR with a .tex or .typ and a corresponding metadata .yml file in the assets/ directory and add yourself to the citation.cff file.

2d Convolution	Amplitude Modulation
Angular Momentum Quantization	Atomistic GPU Batching
Autoencoder	Ball Tree
Basis + Lattice	Bloch Sphere
Bose Einstein Distribution	Bose Einstein Distribution 3d
Branch and Bound	Branch Cuts 1
Branch Cuts 2	Cartesian vs Polar Coordinates
Chain Homology	Change of Variables
Closed String Topologies	Complex Sign Function
Complex Sign Plane	Concave Functions
Convex Functions	Convex Hull of Stability
Convolutional Autoencoder	Critical Temperature
Cylinder to Plane	Denoising Variational Autoencoder
DFT Choices	DFT Jacob's Ladder
DFT MLFF CFF Speed Accuracy Transfer	Disk to Plane
Divergence	Dropout
Ergodic	Euler Angles
Fermi-Dirac Distribution	Ferroelectric Response
Feynman Diagram 1	Feynman Diagram 2
Feynman Diagram 3	Feynman Diagram 4
Feynman Diagram Loop	Feynman Diagram Loops
Feynman Diagram One Point	Feynman Diagram Propagator Loop
Feynman Diagrams Loop Regulator	Four Vs of Data
Frequency Modulation	Gas Pressure on Wall
Generative Adversarial Network	Geometric Bayes
GNN Node Aggregation	Grand Canonical Occupation Fluctuations
Graph Convolution	Graph Isomorphism
Gravitons	Gun Tackle
Harmonic Oscillator Energy vs Angular Frequency	Harmonic Oscillator Energy vs inverse Temperature
Heatmap	Higgs Potential
High Entropy Alloy	In-Flight Auto-Batcher
Iron Lattice Ferrox Logo	Isotherms
Jensens Inequality	k-Nearest Neighbors
k-Space	Kohn Sham Cycle
Light	M-Theory
MADE	Masked Autoregressive Flow
Materials Informatics	Materials Informatics Challenges
Matsubara Contour 1	Matsubara Contour 2
Matsubara Contour 3	Matsubara Contour 4
Matsubara Contour 5	Matsubara Contour Deformation
Maxwell Boltzmann Distribution	Mexican Hat
ML Activations	Momentum Shell
MOSFET	Multilayer Perceptron
NMOSFET Amplifier Circuit	Normalizing Flow
Normalizing Flow Coupling Layer	Open String Topologies
Operator Orderings	Organic Molecule
Otto Cycle	Periodic Table
Physics Mindmap	Plane to Torus
Plate Capacitor	Potential Triangle
Propagator Fluctuations	QFT Propagator Poles
QFT Propagators	Cost vs Accuracy in Quantum Mechanical Simulations
Random Forest	Regular vs Bayes NN
Reinforcement Learning Greedy Policy	RG Flow in Theory Space
Risk-Opportunity Matrix	RNVP Affine Coupling Layer
ROC Curve	Roost Update
Sabatier Principle	Saddle Point
Scattering Detailed Balance	Seebeck Effect
Self Attention	Semi-supervised Learning
Shortest Path in Weighted Graph	Sierpinski Triangle
Single-head attention	Skip Connection
Sparse Autoencoder	Spontaneous Magnetization
Statistical Energy Distributions	Sublattice Points
Supervised Learning Setup	Tanh
Thermodynamic Ensemble transforms	Thermodynamic Potentials Venn Diagram
θ-β-M Diagram	Thomson Scattering
Timed Event Graph	Tori
Torus	Torus Fundamental Domain
Train-Test Split	Two Point No Cutoff
Two-point Propagator Flow	Unregularized Propagator Diagrams
Variational Autoencoder	Wetterich Equation
Wyckoff Positions	zT vs n

Files in /scripts render and convert the .typ and .tex files in /assets to various formats:

• low + high-res PNG
• PDF
• SVG

To run the scripts requires the following dependencies:

• pdf-compressor (pip install pdf-compressor)
• gs (GhostScript) (optional, worse compression but needs no API key so less setup than pdf-compressor)
• pdf2svg (brew install pdf2svg)
• convert (part of ImageMagick)
• pngquant (brew install pngquant)
• zopflipng (brew install zopfli)

To run pdf-compressor directly or to use it as part of the render-(typst|tikz).py pipeline, you need a free public API key from https://developer.ilovepdf.com. Pass it to pdf-compressor with:

pdf-compressor --set-api-key project_public_7c854a9db0...

You can cite the Zenodo record using the following BibTeX entry:

@software{riebesell_diagrams_2020,
  title = {Collection of scientific diagrams},
  author = {Riebesell, Janosh and Bringuier, Stefan},
  date = {2020-08-09},
  year = {2020},
  doi = {10.5281/zenodo.7486911},
  url = {https://github.com/janosh/diagrams},
  note = {10.5281/zenodo.7486911 - https://github.com/janosh/diagrams},
  version = {0.2.0},
  urldate = {2023-01-01}, % optional, replace with your date of access
}