Alternatives and similar repositories for SymbolicMathematics

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

• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆769Updated 2 years ago
• google-deepmind / mathematics_conjectures
  ☆379Updated 4 years ago
• SJ001 / AI-Feynman
  ☆729Updated last year
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆123Updated 3 years ago
• titu1994 / tfdiffeq
  Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
  ☆223Updated 5 years ago
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆551Updated 2 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆785Updated 3 years ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆498Updated 4 years ago
• facebookresearch / MathsFromExamples
  Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…
  ☆181Updated 4 years ago
• dso-org / deep-symbolic-optimization
  A deep learning framework for symbolic optimization.
  ☆694Updated 11 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆287Updated 4 years ago
• locuslab / SATNet
  Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
  ☆422Updated 3 years ago
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆105Updated 3 months 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…
  ☆55Updated 4 years ago
• ellisk42 / ec
  ☆542Updated 2 years ago
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆531Updated 3 months ago
• google / neural-logic-machines
  Implementation for the Neural Logic Machines (NLM).
  ☆293Updated 6 years ago
• google-deepmind / neural_networks_chomsky_hierarchy
  Neural Networks and the Chomsky Hierarchy
  ☆212Updated last year
• 2prime / ODE-DL
  Paper List For Linking ODE and Deep Learning
  ☆246Updated 5 years ago
• Rachnog / Neural-ODE-Experiments
  This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data
  ☆199Updated 6 years ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,546Updated last year
• fancompute / wavetorch
  🌊 Numerically solving and backpropagating through the wave equation
  ☆537Updated 5 years ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆485Updated 3 years ago
• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆285Updated 2 months ago
• msurtsukov / neural-ode
  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
  ☆789Updated last year
• thegregyang / GP4A
  Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…
  ☆248Updated 5 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆78Updated 6 years ago
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,691Updated 11 months ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆278Updated 6 years ago
• scaomath / galerkin-transformer
  [NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
  ☆256Updated last year