MilesCranmer / PySR
High-Performance Symbolic Regression in Python and Julia
☆2,438Updated this week
Related projects ⓘ
Alternatives and complementary repositories for PySR
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆726Updated last year
- A deep learning framework for symbolic optimization.☆594Updated last year
- ☆646Updated 4 months ago
- A package for the sparse identification of nonlinear dynamical systems from data☆1,456Updated this week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,445Updated this week
- Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric …☆952Updated this week
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,400Updated 6 months ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,123Updated 3 weeks ago
- A differentiable PDE solving framework for machine learning☆1,487Updated this week
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆706Updated 4 months ago
- Welcome to the Physics-based Deep Learning Book (v0.2)☆1,001Updated 2 weeks ago
- Python Dynamic Mode Decomposition☆893Updated 3 weeks ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,308Updated this week
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,018Updated this week
- ☆338Updated 3 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆767Updated last week
- Distributed High-Performance Symbolic Regression in Julia☆633Updated this week
- More than a hundred strange attractors☆420Updated this week
- Physical Symbolic Optimization☆1,835Updated 2 months ago
- Lagrangian Neural Networks☆468Updated 4 months ago
- A living benchmark framework for symbolic regression☆224Updated last week
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆849Updated 3 weeks ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,586Updated 5 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆935Updated 2 months ago
- All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…☆877Updated 2 weeks ago
- State Space Models library in JAX☆696Updated 2 weeks ago
- Simulation-based inference toolkit☆591Updated last week
- A Graph Neural Network Library in Jax☆1,375Updated 8 months ago
- Probabilistic Numerics in Python.☆439Updated 6 months ago
- Optax is a gradient processing and optimization library for JAX.☆1,705Updated last week