Alternatives and similar repositories for tbp

Users that are interested in tbp are comparing it to the libraries listed below

• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆40Updated 7 years ago
• arranger1044 / spyn
  Sum-Product Network learning routines in python
  ☆27Updated 10 years ago
• kirthevasank / add-gp-bandits
  Additive Gaussian Process Bandits - version 1.0
  ☆27Updated 9 years ago
• microsoft / PDP-Solver
  PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers
  ☆42Updated 2 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
• tushuhei / gpucb
  Simple implementation of GP-UCB algorithm.
  ☆54Updated 8 years ago
• MethodsOfMachineLearning / entropy-search
  Entropy Search for Information-Efficient Global Optimization - JMLR v13
  ☆30Updated 8 years ago
• jkuck / BPNN
  ☆23Updated 4 years ago
• QUVA-Lab / COMBO
  ☆50Updated last year
• ilyakava / sumproduct
  Sum product algorithm - Belief propagation (message passing) for factor graphs
  ☆89Updated 7 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
• NVIDIA / GraphQSat
  Using GNN and DQN to find a baetter branching heuristic for a CDCL Solver
  ☆52Updated 5 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• xkianteb / ApproPO
  Reinforcement Learning with Convex Constraints
  ☆14Updated 3 years ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆56Updated 6 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
• emreyolcu / sat
  Learning local search heuristics for Boolean satisfiability
  ☆37Updated last year
• alejandromolinaml / MSPN
  Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains
  ☆16Updated 7 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 6 years ago
• isl-org / NPHard
  Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
  ☆155Updated last year
• kirthevasank / mf-gp-ucb
  Multi-fidelity Gaussian Process Bandit Optimisation
  ☆39Updated 9 years ago
• google / neural-logic-machines
  Implementation for the Neural Logic Machines (NLM).
  ☆293Updated 6 years ago
• djstrouse / information-bottleneck
  a python implementation of various versions of the information bottleneck, including automated parameter searching
  ☆131Updated 5 years ago
• kd383 / GPML_SLD
  Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
  ☆18Updated 8 years ago
• paintception / Deep-Quality-Value-DQV-Learning-
  DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm
  ☆24Updated 2 years ago
• google-deepmind / mc_gradients
  ☆172Updated last year
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆46Updated 10 years ago
• UCLA-StarAI / LogisticCircuit
  Logistic Circuits
  ☆36Updated 6 years ago
• arranger1044 / awesome-spn
  A structured list of resources about Sum-Product Networks (SPNs)
  ☆254Updated 5 years ago
• automl / LTO-CMA
  Code for the paper "Learning Step-Size Adaptation in CMA-ES"
  ☆12Updated 2 years ago