Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
☆781Nov 20, 2023Updated 2 years ago
Alternatives and similar repositories for symbolic_deep_learning
Users that are interested in symbolic_deep_learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- High-Performance Symbolic Regression in Python and Julia☆3,733Updated this week
- ☆774Jul 9, 2024Updated 2 years ago
- A deep learning framework for symbolic optimization.☆739Jan 23, 2026Updated 7 months ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆78Mar 24, 2023Updated 3 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆45Apr 14, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Lagrangian Neural Networks☆568Sep 24, 2025Updated 10 months ago
- Distributed High-Performance Symbolic Regression in Julia☆803Updated this week
- SR based on LLMs.☆133Nov 13, 2022Updated 3 years ago
- A living benchmark framework for symbolic regression☆317Aug 13, 2026Updated last week
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,726Dec 30, 2024Updated last year
- Equation Learner, a neural network approach to symbolic regression☆90Sep 24, 2024Updated last year
- Deep Learning for Symbolic Mathematics☆553Sep 1, 2021Updated 4 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,577May 2, 2024Updated 2 years ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆113Sep 2, 2025Updated 11 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆117May 17, 2021Updated 5 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 5 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,476Apr 4, 2025Updated last year
- This repository contains implementations and illustrative code to accompany DeepMind publications☆15,163Jun 17, 2026Updated 2 months ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,543Sep 13, 2024Updated last year
- Fast and Easy Infinite Neural Networks in Python☆2,384Mar 1, 2024Updated 2 years ago
- Physical Symbolic Optimization☆1,971Feb 21, 2026Updated 6 months ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆57Nov 19, 2021Updated 4 years ago
- predicting equations from raw data with deep learning☆57Mar 24, 2026Updated 4 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,907Oct 10, 2025Updated 10 months ago
- Differentiable convex optimization layers☆2,126May 19, 2026Updated 3 months ago
- Genetic Programming in Python, with a scikit-learn inspired API☆1,878Aug 14, 2026Updated last week
- Blazing fast symbolic regresison☆76Oct 10, 2019Updated 6 years ago
- Learning in infinite dimension with neural operators.☆3,821Aug 6, 2026Updated 2 weeks ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆487Sep 4, 2025Updated 11 months ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,087Jun 21, 2026Updated 2 months ago
- A Graph Neural Network Library in Jax☆1,473Mar 18, 2024Updated 2 years ago
- A differentiable PDE solving framework for machine learning☆1,926Jul 16, 2026Updated last month
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Turn SymPy expressions into trainable JAX expressions.☆372Apr 20, 2026Updated 4 months ago
- Differentiable, Hardware Accelerated, Molecular Dynamics☆1,456Updated this week
- Hopfield Networks is All You Need☆1,958Apr 23, 2023Updated 3 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- ☆390Oct 15, 2021Updated 4 years ago
- Tensorflow implementation of equation learner☆34Jan 10, 2021Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆128Jul 6, 2023Updated 3 years ago