Best Subset Selection, Forward Stepwise, Backward Stepwise Classes in sk-learn style.
☆15May 18, 2020Updated 5 years ago
Alternatives and similar repositories for StepwiseSelectionOLS
Users that are interested in StepwiseSelectionOLS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- US equity (portfolio) characteristics, the main file is in SAS.☆20Dec 21, 2023Updated 2 years ago
- Fama French Industry Classification☆15Aug 12, 2025Updated 8 months ago
- ☆28Dec 15, 2023Updated 2 years ago
- ☆24Aug 12, 2019Updated 6 years ago
- ☆41Feb 10, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 3 months ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- 深度学习之神经网络核心原理与算法-课程学习相关代码☆13Aug 18, 2018Updated 7 years ago
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated last year
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year
- a clean blog☆10Apr 20, 2020Updated 5 years ago
- ☆11Jan 7, 2025Updated last year
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression☆11Jul 28, 2023Updated 2 years ago
- Public Repo for the paper "Overcoming The Spectral-Bias of Neural Value Approximation"☆11May 25, 2024Updated last year
- ☆22Sep 1, 2025Updated 7 months ago
- Source code for the paper "Sample-efficient inverse design of freeform nanophotonic devices with physics-informed reinforcement learning"☆14Apr 12, 2024Updated 2 years ago
- DropKAN (Dropout Kolmogorov Arnold Networks)☆18Jun 23, 2025Updated 9 months ago
- ☆12Jan 29, 2025Updated last year
- This repository consists of two-step training DeepONet code.☆14May 22, 2024Updated last year
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆12Apr 5, 2023Updated 3 years ago
- Code and data for paper named: Large language models for automatic equation discovery of nonlinear dynamics☆13Mar 6, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Experiment with Neural ODE on Pytorch☆14Aug 9, 2019Updated 6 years ago
- ☆10Mar 18, 2023Updated 3 years ago
- ☆36Sep 13, 2025Updated 7 months ago
- ☆12Nov 30, 2022Updated 3 years ago
- This project discovers equations from data using SINDy (sparse identification on nonlinear dynamics).☆11Mar 22, 2022Updated 4 years ago
- Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal S…☆12Jul 9, 2024Updated last year
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Aug 1, 2021Updated 4 years ago
- ☆12May 30, 2024Updated last year
- ☆10Mar 8, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆10Oct 19, 2025Updated 5 months ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- ☆19Apr 5, 2024Updated 2 years ago
- This repository is a guided tutorial on Pseudo-Spectral method that in long run can help as a basis for study material on Direct Numerica…☆12Sep 23, 2021Updated 4 years ago
- Here you can find the code for the paper "Training robust neural networks using Lipschitz bounds"☆10Sep 20, 2020Updated 5 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 years ago