SymposiumOrganization / ControllableNeuralSymbolicRegression
☆11Updated last year
Alternatives and similar repositories for ControllableNeuralSymbolicRegression:
Users that are interested in ControllableNeuralSymbolicRegression are comparing it to the libraries listed below
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆52Updated 5 months ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆20Updated 6 months ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆52Updated last year
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆87Updated 3 years ago
- ☆28Updated 2 years ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆66Updated 4 months ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆45Updated last year
- SR based on LLMs.☆98Updated 2 years ago
- Learning Dynamical Systems that Generalize Across Environments☆19Updated 3 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆24Updated 10 months ago
- ☆45Updated 4 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆57Updated 5 months ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆38Updated 5 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆21Updated 3 weeks ago
- [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems☆32Updated last month
- Consistent Koopman Autoencoders☆71Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆51Updated 2 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆18Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆75Updated last month
- ☆30Updated 4 years ago
- [ICLR 2024 Spotlight] SNIP on Symbolic Regression: Deep Symbolic Regression with Multimodal Pretraining☆17Updated 5 months ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated last year
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Deep Generative Symbolic Regression Code☆23Updated last year
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆88Updated 3 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆39Updated 4 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆24Updated 2 years ago
- This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.☆24Updated 2 weeks ago