Alternatives and similar repositories for nntikz

Users that are interested in nntikz are comparing it to the libraries listed below

• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆129Updated last year
• abao1999 / panda
  Patched Attention for Nonlinear Dynamics
  ☆161Updated this week
• thomasahle / tensorgrad
  Machine Learning with Symbolic Tensors
  ☆348Updated this week
• MartinuzziFrancesco / awesome-scientific-machine-learning
  A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
  ☆74Updated last year
• patrick-kidger / typst_pyimage
  Typst extension, adding support for generating figures using inline Python code
  ☆108Updated last month
• Atcold / Energy-Book
  Deep Learning, an Energy Approach
  ☆220Updated 5 months ago
• pg2455 / KAN-Tutorial
  Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples
  ☆202Updated 5 months ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆191Updated 2 years ago
• srigas / jaxKAN
  Kolmogorov-Arnold Networks built on JAX
  ☆90Updated 7 months ago
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆274Updated 5 months ago
• grasp-lyrl / low-dimensional-deepnets
  ☆16Updated last year
• mossr / machine_learning_book
  Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook
  ☆59Updated 4 years ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆222Updated last year
• williamgilpin / shrec
  Reconstructing shared causal drivers from noisy time series
  ☆58Updated last year
• saforem2 / ambivalent
  Minimal, beautiful (+ highly-customizable) styles for Matplotlib.
  ☆19Updated 3 months ago
• far1din / manim
  Manim code
  ☆38Updated 9 months ago
• steveazzolin / gdl_tutorial_turinginst
  Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
  ☆59Updated last year
• janosh / diagrams
  Diagrams of concepts in physics/chemistry/ML
  ☆382Updated 2 weeks ago
• lollodealma / ml_without_tears
  Code repository of ml-without-tears blog: https://mlwithouttears.com/
  ☆36Updated last year
• KindXiaoming / schrodinger-pca
  Schrodinger Principal Component Analysis
  ☆23Updated 5 years ago
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆171Updated last year
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆178Updated 11 months ago
• Jim137 / qkan
  Official implementation of "Quantum-inspired Kolmogorov-Arnold Network"
  ☆14Updated this week
• micahkepe / comp458-notes
  Notes for COMP 458 (Spring 2025): Quantum Computing Algorithms 🧬
  ☆76Updated 7 months ago
• mitmath / matrixcalc
  MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
  ☆548Updated 9 months ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆64Updated last year
• RMT-TheoryAndPractice / RMT
  ☆124Updated 7 years ago
• PolymathicAI / walrus
  ☆111Updated this week
• MrPio / KAN-Continual_Learning_tests
  Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)
  ☆41Updated 8 months ago
• Zhangyanbo / MLP-KAN
  Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)
  ☆107Updated last month