deep-symbolic-mathematics / Multimodal-Symbolic-RegressionView external linksLinks
[ICLR 2024 Spotlight] SNIP on Symbolic Regression: Deep Symbolic Regression with Multimodal Pretraining
☆21Oct 21, 2024Updated last year
Alternatives and similar repositories for Multimodal-Symbolic-Regression
Users that are interested in Multimodal-Symbolic-Regression are comparing it to the libraries listed below
Sorting:
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆58Oct 22, 2024Updated last year
- [ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models☆94Jul 31, 2025Updated 6 months ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆80Nov 4, 2024Updated last year
- ☆11Jan 7, 2025Updated last year
- The official code of the paper "MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series" [ICML 2024].☆14Mar 24, 2025Updated 10 months ago
- Experiment with Neural ODE on Pytorch☆14Aug 9, 2019Updated 6 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Apr 10, 2021Updated 4 years ago
- [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…☆211Jul 31, 2025Updated 6 months ago
- code of ICLR 2024 paper Reinforcement Symbolic Regression Machine☆15Feb 19, 2024Updated last year
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆40Dec 17, 2024Updated last year
- ☆12Aug 22, 2025Updated 5 months ago
- ☆18Jul 29, 2024Updated last year
- Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"☆20Jan 11, 2024Updated 2 years ago
- Pytorch implementation of Stable Vector Fields on Lie Groups through Diffeomorphism☆22Nov 28, 2024Updated last year
- ☆43Updated this week
- Gradient Boosting Models on Real-Time Sensor Data for AI-Enhanced Vehicle Predictive Maintenance. By using a web-based interface to forec…☆19Nov 17, 2024Updated last year
- Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).☆29Aug 19, 2021Updated 4 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆29Feb 15, 2021Updated 5 years ago
- Implementation, data and pretrained models for the paper "Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction…☆26Jul 9, 2023Updated 2 years ago
- ☆11Sep 18, 2025Updated 4 months ago
- Convolutional Solvers for Partial Differential Equations☆27Jun 29, 2020Updated 5 years ago
- ☆16Nov 2, 2025Updated 3 months ago
- Analyze Advanced Vehicle Telematics data analysis for insights into gear detection, fuel efficiency, driving patterns and safety using se…☆10Oct 8, 2023Updated 2 years ago
- 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
- Hierarchical Bayesian inversion of electrochemical impedance spectroscopy (EIS) data☆11Jan 12, 2025Updated last year
- Addressing the problem of predicting crime occurrence based on historic records☆11Nov 27, 2019Updated 6 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆36Oct 17, 2024Updated last year
- ☆33Dec 12, 2022Updated 3 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆38Jun 21, 2023Updated 2 years ago
- Hybrid Car Model MATLAB Simulink Simscape☆15Jul 27, 2023Updated 2 years ago
- ☆17Apr 18, 2024Updated last year
- ☆13Jun 18, 2025Updated 7 months ago
- A feasible digital twin solution prototype for industry 4.0, which will be demonstrated for offshore wind farms through lab-based physica…☆10Jun 6, 2022Updated 3 years ago
- A lightweight driving simulator, written in Julia.☆19Sep 25, 2024Updated last year
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- ☆37Jan 2, 2024Updated 2 years ago
- Dimensionless learning☆42Jan 25, 2026Updated 3 weeks ago
- This project discovers equations from data using SINDy (sparse identification on nonlinear dynamics).☆11Mar 22, 2022Updated 3 years ago
- ☆10Mar 8, 2023Updated 2 years ago