Alternatives and similar repositories for EvoDynamic

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

• pvlachas / RNN-RC-Chaos
  RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…
  ☆98Updated 2 years ago
• reservoirpy / awesome-reservoir-computing
  Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).
  ☆60Updated 4 years ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆66Updated 2 years ago
• danieleds / TorchRC
  An organized collection of Reservoir Computing models and techniques that is well-integrated within the PyTorch API.
  ☆17Updated 3 years ago
• msuzen / bristol
  Parallel random matrix tools and complexity for deep learning
  ☆33Updated 2 years ago
• cvxgrp / signal-decomposition
  A simple and general framework for signal decomposition
  ☆74Updated last year
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆57Updated 4 months ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• pnnl / slim
  Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.
  ☆18Updated 2 years ago
• mazy1998 / Solving-Optimization-Problems-with-JAX
  Solving Optimization Problems with JAX, code and PDF
  ☆17Updated 5 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 3 years ago
• mojivalipour / symbolicgpt
  Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…
  ☆56Updated 4 years ago
• hellpig / SU-tools
  many powerful tools for studying irreducible representations of SU(n), including making animations of hadron flavor-state multiplets
  ☆13Updated 4 years ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• WessZumino / Random-Matrix-theory-for-pedestrians
  ☆18Updated 5 years ago
• quantinfo / ng-rc-paper-code
  Code for the paper "Next Generation Reservoir Computing"
  ☆189Updated 2 months ago
• blindedjoy / RcTorch
  a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
  ☆46Updated 3 years ago
• pvlachas / RNN-Lyapunov-Spectrum
  A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
  ☆47Updated last year
• differint / differint
  Python package for calculating fractional derivatives.
  ☆60Updated last year
• shaoanlu / COVID-19-SINDY
  Use SINDY algorithm to discover a dynamical system from coronavirus data
  ☆13Updated last year
• ORF522 / companion
  Supporting material for Princeton ORF522
  ☆14Updated 5 months ago
• pyro-ppl / pyroed
  Bayesian optimization of discrete sequences
  ☆21Updated 3 years ago
• luckystarufo / multiscale_HiTS
  ☆74Updated 5 years ago
• M-Vause / SEED2.0
  ☆18Updated 5 years ago
• mateodd25 / free-nets
  Learn one, get them all for free
  ☆12Updated 2 years ago
• Shr1ftyy / wolframPy
  An implementation of Wolfram's hypergraphs from the Wolfram Physics Project.
  ☆13Updated 5 years ago
• ravikoka / qgraph
  Simulate Anderson localization and tight binding on graphs.
  ☆15Updated last year
• dimitra-maoutsa / DeterministicParticleFlowControl
  Repository for Deterministic Particle Flow Control framework
  ☆10Updated 3 years ago
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 3 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆55Updated 4 years ago