Alternatives and similar repositories for DySymNet

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

• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆76Updated 2 years ago
• menggedu / DISCOVER
  Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning
  ☆38Updated last year
• delta-lab-ai / pde-controller
  ☆25Updated 6 months ago
• isds-neu / SymbolicPhysicsLearner
  Symbolic physics learner: Discovering governing equations via Monte Carlo tree search
  ☆26Updated 2 years ago
• intell-sci-comput / PSE
  Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. …
  ☆87Updated last week
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆42Updated 4 years ago
• nmakke / SR-LivingReview
  ☆20Updated last year
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 4 years ago
• YuntianChen / SGA-PDE
  Symbolic genetic algorithm for discovering open-form partial differential equations
  ☆43Updated 3 years ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆36Updated last year
• 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 last year
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆123Updated 3 years ago
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆79Updated last year
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆60Updated 10 months ago
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆34Updated 5 years ago
• vastlik / symformer
  ☆31Updated 3 years ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆31Updated last month
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• jtoleary / SPINODE
  Stochastic Physics-Informed Neural Ordinary Differential Equations
  ☆19Updated 3 years ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆145Updated 2 years ago
• nicholassung97 / Neuroevolution-of-PINNs
  ☆17Updated 2 years ago
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆105Updated 3 months ago
• LithiumDA / CodePDE
  CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
  ☆63Updated 3 months ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆50Updated 2 years ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆28Updated 7 months ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆53Updated 3 years ago
• SchatzLabGT / SymbolicRegression
  ☆11Updated 4 years ago
• MaxGhi8 / HyperNOs
  ☆23Updated last week
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆84Updated last year
• pooyasf / DGM
  Solving High Dimensional Partial Differential Equations with Deep Neural Networks
  ☆34Updated 4 years ago