tardhinata / sudoku-sat-solverLinks
Sudoku solver based on SAT (Boolean Satisfiability) in python
☆13Updated 6 years ago
Alternatives and similar repositories for sudoku-sat-solver
Users that are interested in sudoku-sat-solver are comparing it to the libraries listed below
Sorting:
- Neural network verification in JAX☆145Updated 2 years ago
- Probabilistic Circuits from the Juice library☆107Updated last year
- ☆53Updated 2 years ago
- Code for FormulaNet in NIPS 2017☆30Updated 7 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- A formalization of first-order logic and Peano's axioms in Python☆20Updated 2 months ago
- ☆24Updated 4 years ago
- ☆15Updated 6 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Combining Symbolic and Function Evaluation Expressions In Neural Programs☆35Updated 5 years ago
- Code and dataset for the paper "IsarStep: a Benchmark for High-level Mathematical Reasoning"☆12Updated 4 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
- Python package for Sentential Decision Diagrams (SDD)☆64Updated 6 months ago
- A library for program induction and learning representations.☆31Updated last year
- Nonparametric Score Estimators, ICML 2020☆36Updated 4 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Probabilistic Answer Set Programming and Probabilistic SAT solving, based on Differentiable Satisfiability☆67Updated last year
- Code for the paper "Learning to Prove Theorems by Learning to Generate Theorems"☆32Updated 4 years ago
- Learning Algebraic Varieties from Samples☆24Updated last year
- Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…☆17Updated 4 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 10 months ago
- ☆19Updated 2 years ago
- Optimal approximate sampling from discrete probability distributions☆18Updated 4 years ago
- A Learning Environment for Theorem Proving☆75Updated 3 years ago
- Neural Turing Machines in Pytorch.☆45Updated 6 years ago
- book for Halide language programming☆13Updated 3 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28Updated 6 years ago
- Generic PyTorch implementation of einsum that supports different semirings☆50Updated last year
- Parallel random matrix tools and complexity for deep learning☆33Updated last year
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago