Alternatives and similar repositories for Lyapunov:

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

• vtabbott / Algebraic-NCD
  A package for defining deep learning models using categorical algebraic expressions.
  ☆59Updated 6 months ago
• ml-jku / GINNs-Geometry-informed-Neural-Networks
  ☆150Updated 2 months ago
• okarthikb / state-space-models
  ☆27Updated 6 months ago
• Zhangyanbo / MLP-KAN
  Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)
  ☆102Updated 3 months ago
• thomasahle / tensorgrad
  Tensor Network Library with Autograd
  ☆158Updated this week
• francoisfleuret / picogpt
  Minimal GPT (~350 lines with a simple task to test it)
  ☆62Updated last month
• grasp-lyrl / low-dimensional-deepnets
  ☆15Updated 10 months ago
• BricksRL / bricksrl
  BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
  ☆56Updated 3 months ago
• sidhu2690 / Deep-KAN
  This repository contains a better implementation of Kolmogorov-Arnold networks
  ☆59Updated 8 months ago
• clement-bonnet / lpn
  Latent Program Network (from the "Searching Latent Program Spaces" paper)
  ☆45Updated 2 months ago
• Sohl-Dickstein / fractal
  The boundary of neural network trainability is fractal
  ☆194Updated 11 months ago
• AllanYangZhou / universal_neural_functional
  ☆48Updated 11 months ago
• quiqi / relu_kan
  ☆80Updated 7 months ago
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆164Updated last year
• pyt-team / tdlbook
  ☆28Updated 5 months ago
• LiibanMo / scikit-jax
  Your favourite classical machine learning algos on the GPU/TPU
  ☆20Updated 3 weeks ago
• nzolman / sindy-rl
  Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.
  ☆100Updated 6 months ago
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated 7 months ago
• jmtomczak / vae_kan_example
  A simple example of VAEs with KANs
  ☆12Updated 8 months ago
• maxencefaldor / cax
  Cellular Automata Accelerated in JAX
  ☆79Updated 2 months ago
• kyegomez / swarms-pytorch
  Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊
  ☆119Updated this week
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆50Updated 6 months ago
• lucidrains / firefly-torch
  Exploration into the Firefly algorithm in Pytorch
  ☆33Updated 4 months ago
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆80Updated 10 months ago
• MrPio / KAN-Continual_Learning_tests
  Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)
  ☆35Updated 3 months ago
• ruke1ire / RTF
  A State-Space Model with Rational Transfer Function Representation.
  ☆77Updated 8 months ago
• misko / human_descent
  ☆36Updated last month
• riverstone496 / awesome-second-order-optimization
  ☆25Updated last year
• helblazer811 / diffusion-visualizations
  Visualizations of the theory behind diffusion models.
  ☆77Updated 9 months ago
• NVlabs / gbrl
  Gradient Boosting Reinforcement Learning (GBRL)
  ☆98Updated this week