facebookresearch / SymbolicMathematicsLinks
Deep Learning for Symbolic Mathematics
☆551Updated 4 years ago
Alternatives and similar repositories for SymbolicMathematics
Users that are interested in SymbolicMathematics are comparing it to the libraries listed below
Sorting:
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆771Updated 2 years ago
- ☆381Updated 4 years ago
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆426Updated 3 years ago
- Pytorch implementation of Augmented Neural ODEs☆555Updated 2 years ago
- Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…☆181Updated 4 years ago
- ☆733Updated last year
- [NeurIPS'19] Deep Equilibrium Models☆789Updated 3 years ago
- Paper List For Linking ODE and Deep Learning☆246Updated 5 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆287Updated 4 years ago
- SR based on LLMs.☆125Updated 3 years ago
- Code for our paper "Hamiltonian Neural Networks"☆503Updated 4 years ago
- Implementation for the Neural Logic Machines (NLM).☆293Updated 6 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆603Updated last month
- A deep learning framework for symbolic optimization.☆704Updated this week
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆249Updated 5 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆173Updated 6 years ago
- Differentiable Optimization-Based Modeling for Machine Learning☆345Updated 6 years ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆223Updated 5 years ago
- Lagrangian Neural Networks☆535Updated 4 months ago
- Turning SymPy expressions into PyTorch modules.☆156Updated 2 years ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆348Updated 4 years ago
- ☆548Updated 2 years ago
- PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code☆699Updated 2 years ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆107Updated 4 months ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆487Updated 3 years ago
- Neural Networks and the Chomsky Hierarchy☆212Updated last year
- This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data☆199Updated 6 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,370Updated last year
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆277Updated 6 years ago