A paper describing the implementation of PySR and SymbolicRegression.jl
☆67Feb 5, 2024Updated 2 years ago
Alternatives and similar repositories for pysr_paper
Users that are interested in pysr_paper are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆22Nov 15, 2025Updated 7 months ago
- Meta-learning approach for human-interpretable formulas generation☆10Apr 24, 2020Updated 6 years ago
- ☆20Apr 3, 2024Updated 2 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆12Apr 29, 2026Updated 2 months ago
- ☆21Jun 22, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A living benchmark framework for symbolic regression☆315Jun 12, 2026Updated 3 weeks ago
- SR based on LLMs.☆133Nov 13, 2022Updated 3 years ago
- ☆76Aug 15, 2024Updated last year
- Implementation of Rational Kolmogorov-Arnold Network (rKAN)☆21Jun 28, 2024Updated 2 years ago
- code of ICLR 2024 paper Reinforcement Symbolic Regression Machine☆16Feb 19, 2024Updated 2 years ago
- PyCausalSim is a Python framework for discovering and validating causal relationships through simulation. Unlike traditional analytics th…☆32Dec 8, 2025Updated 7 months ago
- Microsoft Exam PL-300 Power BI Data Analyst☆15Sep 26, 2022Updated 3 years ago
- A package for magnetic field extrapolation.☆15Jul 1, 2026Updated last week
- ☆17Jun 12, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- C++ implementation of the enthalpy-based thermal evolution of loops (EBTEL) model wrapped in Python☆13Apr 10, 2026Updated 3 months ago
- A drift-diffusion modeling (DDM) framework for Python3☆18Jul 3, 2023Updated 3 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆12Apr 9, 2024Updated 2 years ago
- Equation Learner, a neural network approach to symbolic regression☆89Sep 24, 2024Updated last year
- Slides for Bayesian Workshops across the world☆13Oct 3, 2023Updated 2 years ago
- ☆18Jan 5, 2026Updated 6 months ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆82Nov 4, 2024Updated last year
- generate connectome from fMRIPrep outputs☆13Updated this week
- dRiftDM☆15Jun 6, 2026Updated last month
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Programs in Cognitive Choice Modeling Book☆12Sep 5, 2021Updated 4 years ago
- Solving various PDEs by employing Siren, with JAX implementation.☆10Apr 13, 2025Updated last year
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆16Oct 12, 2022Updated 3 years ago
- Modules for cross validation, evaluation and plot of SISSO☆17Oct 22, 2019Updated 6 years ago
- Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. …☆114May 17, 2026Updated last month
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆109Sep 2, 2025Updated 10 months ago
- DropKAN (Dropout Kolmogorov Arnold Networks)☆19Jun 23, 2025Updated last year
- Fast symbolic derivatives of runtime-generated expressions☆42Mar 23, 2026Updated 3 months ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆60Mar 27, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆11Oct 16, 2025Updated 8 months ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Jun 25, 2020Updated 6 years ago
- Distributed High-Performance Symbolic Regression in Julia☆795Jun 29, 2026Updated last week
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- Rapid streamline tracing in Python (using Rust)☆15Updated this week
- ChatGPT Participates in a Computer Science Exam (2023)☆31Mar 21, 2023Updated 3 years ago
- General fixed point mapping acceleration and optimization in Julia☆17Sep 24, 2025Updated 9 months ago