Deep Learning for Symbolic Mathematics
☆554Sep 1, 2021Updated 4 years ago
Alternatives and similar repositories for SymbolicMathematics
Users that are interested in SymbolicMathematics are comparing it to the libraries listed below
Sorting:
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆109Sep 2, 2025Updated 6 months ago
- Deep Generative Symbolic Regression Code☆28Oct 18, 2023Updated 2 years ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆777Nov 20, 2023Updated 2 years ago
- SR based on LLMs.☆129Nov 13, 2022Updated 3 years ago
- ☆153May 25, 2020Updated 5 years ago
- A deep learning framework for symbolic optimization.☆708Jan 23, 2026Updated last month
- Transformer training code for sequential tasks☆609Sep 14, 2021Updated 4 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,375Mar 1, 2024Updated 2 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 3 years ago
- Fast, general, and tested differentiable structured prediction in PyTorch☆1,123Apr 20, 2022Updated 3 years ago
- Implementation for NATv2.☆23Feb 20, 2021Updated 5 years ago
- A Python toolbox for performing gradient-free optimization☆4,152May 30, 2025Updated 9 months ago
- [ICLR 2024 Spotlight] SNIP on Symbolic Regression: Deep Symbolic Regression with Multimodal Pretraining☆21Oct 21, 2024Updated last year
- Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…☆181Aug 12, 2021Updated 4 years ago
- Seq2Tree model for Solving Math Word Problems☆147May 12, 2022Updated 3 years ago
- A living benchmark framework for symbolic regression☆294Oct 21, 2025Updated 4 months ago
- ☆740Jul 9, 2024Updated last year
- This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.☆1,936Dec 23, 2024Updated last year
- DrQ: Data regularized Q☆420Jan 13, 2023Updated 3 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆76Mar 24, 2023Updated 2 years ago
- Cross-modal Coherence Modeling for Caption Generation☆11Jul 24, 2020Updated 5 years ago
- PyTorch original implementation of Cross-lingual Language Model Pretraining.☆2,924Feb 14, 2023Updated 3 years ago
- PyTorch original implementation of "Unsupervised Question Decomposition for Question Answering"☆122Aug 11, 2023Updated 2 years ago
- Neural Text Generation with Unlikelihood Training☆310Aug 31, 2021Updated 4 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Dec 7, 2020Updated 5 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆570Jun 13, 2022Updated 3 years ago
- A PyTorch Platform for Distributed RL☆751Sep 15, 2021Updated 4 years ago
- Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language☆98May 3, 2024Updated last year
- A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)☆5,618Jan 12, 2026Updated last month
- Bayesian optimization in PyTorch☆3,470Updated this week
- JAX-based neural network library☆3,191Feb 24, 2026Updated last week
- Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).☆29Aug 19, 2021Updated 4 years ago
- LAnguage Model Analysis☆1,390Jul 7, 2024Updated last year
- Differentiable convex optimization layers☆2,063Updated this week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,835Updated this week
- This repository contains implementations and illustrative code to accompany DeepMind publications☆14,719Feb 20, 2026Updated last week
- ☆14Jul 22, 2021Updated 4 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,704Dec 30, 2024Updated last year
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Apr 23, 2020Updated 5 years ago