Alternatives and similar repositories for PDP-Solver

Users that are interested in PDP-Solver are comparing it to the libraries listed below

• NVIDIA / GraphQSat
  Using GNN and DQN to find a baetter branching heuristic for a CDCL Solver
  ☆52Updated 5 years ago
• shi27feng / transformers.satisfy
  propositional satisfiability problem (SAT) goes neural and deep
  ☆13Updated 4 years ago
• JiaxuanYou / G2SAT
  G2SAT: Learning to Generate SAT Formulas
  ☆50Updated 5 years ago
• RUNCSP / RUN-CSP
  ☆10Updated 2 years ago
• emreyolcu / sat
  Learning local search heuristics for Boolean satisfiability
  ☆37Updated last year
• ryanzhangfan / NeuroSAT
  PyTorch implementation of NeuroSAT
  ☆28Updated 2 years ago
• dselsam / neurocore-public
  NeuroCore: Guiding CDCL with Unsat-Core Predictions
  ☆47Updated 5 years ago
• dselsam / neurosat
  NeuroSAT: Learning a SAT Solver from Single-Bit Supervision
  ☆290Updated 6 years ago
• LUMII-Syslab / QuerySAT
  Official repository for paper "Goal-Aware Neural SAT Solver"
  ☆17Updated 2 years ago
• IBM / IPC-graph-data
  IPC: A Graph Data Set Compiled from International Planning Competitions
  ☆47Updated 6 years ago
• isl-org / NPHard
  Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
  ☆155Updated last year
• muhanzhang / D-VAE
  D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019
  ☆145Updated 5 years ago
• neuralheuristicsforsat / neuralheuristicsforsat
  ☆17Updated 4 years ago
• z11i / pysat
  Simple SAT solver with CDCL implemented in Python
  ☆19Updated 3 years ago
• QUVA-Lab / COMBO
  ☆50Updated last year
• shihui2010 / symbolic_simplifier
  PyTorch implementation for the Deep Symbolic Simplification Without Human Knowledge
  ☆14Updated 4 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆44Updated 5 years ago
• shyam196 / egc
  "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022
  ☆33Updated 3 years ago
• afriesen / ftprop
  Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos…
  ☆28Updated 7 years ago
• PL-ML / metal
  Metal: Learning a Meta-Solver for Syntax-Guided Program Synthesis
  ☆15Updated 6 years ago
• twistedcubic / que-outlier-detection
  [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.
  ☆26Updated 6 years ago
• myxxxsquared / NLocalSAT
  NLocalSAT; Boosting Local Search with Solution Prediction
  ☆18Updated 2 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆51Updated last year
• machine-reasoning-ufrgs / typed-graph-network
  A model builder helper for creating graph neural networks akin to the ones described in https://arxiv.org/abs/1806.01261 and https://ie…
  ☆12Updated 6 years ago
• reactive-systems / deepltl
  Official implementation of Teaching Temporal Logics to Neural Networks (https://arxiv.org/abs/2003.04218)
  ☆32Updated 3 years ago
• yassersouri / pytorch-deep-sets
  PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)
  ☆73Updated 7 years ago
• 95616ARG / SyReNN
  SyReNN: Symbolic Representations for Neural Networks
  ☆41Updated 2 years ago
• qcappart / learning-DD
  Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".
  ☆28Updated 5 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 3 years ago
• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆40Updated 7 years ago