MilesCranmer / PySR
High-Performance Symbolic Regression in Python and Julia
☆2,787Updated last week
Alternatives and similar repositories for PySR
Users that are interested in PySR are comparing it to the libraries listed below
Sorting:
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆750Updated last year
- A deep learning framework for symbolic optimization.☆639Updated 4 months ago
- A package for the sparse identification of nonlinear dynamical systems from data☆1,578Updated this week
- ☆683Updated 10 months ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,621Updated 2 weeks ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,478Updated last year
- Hundreds of strange attractors☆448Updated 2 weeks ago
- Lagrangian Neural Networks☆492Updated 10 months ago
- ☆354Updated 3 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,432Updated 7 months ago
- Learning in infinite dimension with neural operators.☆2,627Updated 3 weeks ago
- A differentiable PDE solving framework for machine learning☆1,604Updated 3 weeks ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆745Updated 2 months ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,642Updated 4 months ago
- Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric …☆1,104Updated last month
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,348Updated this week
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆891Updated 3 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆967Updated 3 weeks ago
- ☆435Updated 4 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,437Updated last week
- Python Dynamic Mode Decomposition☆986Updated last week
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆690Updated this week
- A 15TB Collection of Physics Simulation Datasets☆810Updated last week
- A flexible framework for solving PDEs with modern spectral methods.☆568Updated last month
- A library for scientific machine learning and physics-informed learning☆3,200Updated this week
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆910Updated 2 weeks ago
- A Python package for probabilistic state space modeling with JAX☆817Updated this week
- Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation☆803Updated last month
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆1,463Updated this week
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,073Updated this week