omron-sinicx / transformer4srLinks
[NeurIPS 2023 AI4Science] "A Transformer Model for Symbolic Regression towards Scientific Discovery"
☆18Updated last year
Alternatives and similar repositories for transformer4sr
Users that are interested in transformer4sr are comparing it to the libraries listed below
Sorting:
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆77Updated 2 years ago
- SR based on LLMs.☆122Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆104Updated 2 months ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆78Updated last year
- ☆69Updated last year
- The essence of my research, distilled for reusability. Enjoy 🥃!☆71Updated last year
- Train deep neural nets to classify phases of 2-D Ising model simulations. Ising model configurations are generated through Monte Carlo si…☆33Updated 6 years ago
- Experiments for Neural Flows paper☆99Updated 4 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
- ☆48Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 5 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆55Updated 2 years ago
- Deep Generative Symbolic Regression Code☆27Updated 2 years ago
- This repository contains code released by DiffEqML Research☆91Updated 3 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆239Updated last year
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆42Updated 4 years ago
- A topological machine learning framework based on PyTorch☆196Updated last month
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆130Updated last year
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆74Updated 3 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Library augmented Symbolic Regression in Julia☆29Updated last week
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆39Updated 3 years ago
- Code for JMLR paper ``Learning Representations of Persistence Barcodes``☆24Updated 5 years ago
- ☆112Updated 4 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated last year