Alternatives and similar repositories for DySymNet

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

• menggedu / DISCOVER
  Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning
  ☆38Updated 7 months ago
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆75Updated 2 years ago
• isds-neu / SymbolicPhysicsLearner
  Symbolic physics learner: Discovering governing equations via Monte Carlo tree search
  ☆24Updated 2 years ago
• YuntianChen / SGA-PDE
  Symbolic genetic algorithm for discovering open-form partial differential equations
  ☆41Updated 3 years ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆41Updated 4 years ago
• MunzirH / Applications-of-Physics-Informed-Machine-Learning
  🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…
  ☆11Updated 9 months ago
• delta-lab-ai / pde-controller
  ☆20Updated last month
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆74Updated 9 months ago
• LithiumDA / CodePDE
  CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
  ☆50Updated last month
• sayin / Data_Driven_Symbolic_Regression
  Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …
  ☆33Updated 4 years ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆56Updated 5 months ago
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆31Updated 4 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆26Updated 3 years ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆53Updated 2 years ago
• nmakke / SR-LivingReview
  ☆18Updated last year
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆33Updated last year
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆109Updated 2 years ago
• pehersto / ng
  Neural Galerkin
  ☆16Updated last year
• nicholassung97 / Neuroevolution-of-PINNs
  ☆14Updated 2 years ago
• deep-symbolic-mathematics / Multimodal-Math-Pretraining
  [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…
  ☆57Updated 9 months ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆26Updated 2 months ago
• jpzxshi / learner
  ☆23Updated last month
• deep-symbolic-mathematics / LLM-SR
  [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…
  ☆152Updated last week
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆27Updated 4 months ago
• jtoleary / SPINODE
  Stochastic Physics-Informed Neural Ordinary Differential Equations
  ☆17Updated 3 years ago
• pooyasf / DGM
  Solving High Dimensional Partial Differential Equations with Deep Neural Networks
  ☆34Updated 3 years ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆142Updated 2 years ago
• vastlik / symformer
  ☆30Updated 2 years ago
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆23Updated last year
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆96Updated 4 years ago