MilesCranmer / symbolic_deep_learningLinks
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
☆766Updated last year
Alternatives and similar repositories for symbolic_deep_learning
Users that are interested in symbolic_deep_learning are comparing it to the libraries listed below
Sorting:
- ☆721Updated last year
- A deep learning framework for symbolic optimization.☆688Updated 10 months ago
- Code for our paper "Hamiltonian Neural Networks"☆491Updated 4 years ago
- Lagrangian Neural Networks☆522Updated last month
- Deep Learning for Symbolic Mathematics☆547Updated 4 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,538Updated last year
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆764Updated 3 months ago
- A living benchmark framework for symbolic regression☆277Updated 3 weeks ago
- OSS library that implements deep learning methods for partial differential equations and much more☆455Updated last month
- High-Performance Symbolic Regression in Python and Julia☆3,204Updated this week
- Using graph network to solve PDEs☆419Updated 5 months ago
- ☆374Updated 4 years ago
- Pytorch implementation of Augmented Neural ODEs☆549Updated 2 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆454Updated 2 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆990Updated 6 months ago
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆284Updated 3 years ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆103Updated 2 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆463Updated last year
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,491Updated last year
- SR based on LLMs.☆119Updated 3 years ago
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆784Updated last year
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆677Updated 3 years ago
- A Graph Neural Network Library in Jax☆1,451Updated last year
- Hundreds of strange attractors☆499Updated last month
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,826Updated last month
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,680Updated 10 months ago
- ☆274Updated last year
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆223Updated 5 years ago
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆566Updated 4 years ago