deep-symbolic-mathematics / Multimodal-Math-PretrainingLinks
[ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training"
☆57Updated last year
Alternatives and similar repositories for Multimodal-Math-Pretraining
Users that are interested in Multimodal-Math-Pretraining are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆79Updated last year
- [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…☆209Updated 6 months ago
- SR based on LLMs.☆127Updated 3 years ago
- [ICLR 2024 Spotlight] SNIP on Symbolic Regression: Deep Symbolic Regression with Multimodal Pretraining☆20Updated last year
- [ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models☆94Updated 6 months ago
- Code for Lie Symmetries SSL paper☆23Updated last year
- Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"☆101Updated last year
- Learning Dynamical Systems that Generalize Across Environments☆20Updated 4 years ago
- ☆13Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆82Updated 9 months ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆108Updated 5 months ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆38Updated last year
- Deep Generative Symbolic Regression Code☆28Updated 2 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆66Updated 5 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆54Updated 3 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆37Updated last year
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- ☆66Updated 4 months ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆56Updated 4 years ago
- Symplectic Recurrent Neural Networks☆28Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆57Updated 2 years ago
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆128Updated last year
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆27Updated 7 months ago
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆26Updated last year
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆57Updated 3 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆42Updated 4 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- ☆15Updated 5 years ago