Alternatives and similar repositories for Multimodal-Math-Pretraining:

Users that are interested in Multimodal-Math-Pretraining are comparing it to the libraries listed below

• deep-symbolic-mathematics / LLM-SR
  [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…
  ☆90Updated last month
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆66Updated 5 months ago
• deep-symbolic-mathematics / llm-srbench
  LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
  ☆11Updated last week
• deep-symbolic-mathematics / Multimodal-Symbolic-Regression
  [ICLR 2024 Spotlight] SNIP on Symbolic Regression: Deep Symbolic Regression with Multimodal Pretraining
  ☆17Updated 6 months ago
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆98Updated 2 years ago
• AILWQ / Joint_Supervised_Learning_for_SR
  [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…
  ☆20Updated 2 weeks ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆24Updated 2 years ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 10 months ago
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆20Updated last year
• SymposiumOrganization / ControllableNeuralSymbolicRegression
  ☆11Updated last year
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆76Updated this week
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆51Updated 2 years ago
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆24Updated 11 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆50Updated 2 months ago
• omron-sinicx / srsd-benchmark
  [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
  ☆33Updated last year
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆23Updated 3 weeks ago
• yuan-yin / LEADS
  Learning Dynamical Systems that Generalize Across Environments
  ☆20Updated 3 years ago
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆153Updated 4 months ago
• AILWQ / DySymNet
  [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…
  ☆17Updated 4 months ago
• google-research / swirl-dynamics
  ☆53Updated last week
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆49Updated last year
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆88Updated 3 years ago
• isds-neu / SymbolicPhysicsLearner
  Symbolic physics learner: Discovering governing equations via Monte Carlo tree search
  ☆23Updated last year
• yuan-yin / APHYNITY
  Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
  ☆45Updated last year
• AI4Science-WestlakeU / diffphycon
  [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
  ☆34Updated 2 months ago
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆32Updated 11 months ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆39Updated last year
• vastlik / symformer
  ☆28Updated 2 years ago
• ml-jku / DIffUCO
  ☆44Updated last month
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆69Updated 2 weeks ago